- Lack of data on the implementation capital of parties in the investment receiving country and foreign parties;
- Lack of data on costs, savings and net foreign exchange gains;
- Lack of data on inflation index makes it difficult to calculate and analyze economic efficiency when taking this factor into account;
- Data collection and synthesis are not synchronous, even inconsistent, specifically data on results and resources of FDI by industry and locality are often incomplete (such as VA, capital sources). Therefore, analyzing the economic efficiency of FDI by industry or locality is difficult.
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Applying some statistical methods to study the situation of income distribution in enterprises in the Vietnamese industrial sector - 23 -
Applying some statistical methods to study the situation of income distribution in enterprises in the Vietnamese industrial sector - 14 -
Mobile Phone Usage in Hanoi Inner City Area
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- Test the relationship between demographic variables and consumer behavior for Mobile Marketing activities
The analysis method used is the Chi-square test (χ2), with statistical hypotheses H0 and H1 and significance level α = 0.05. In case the P index (p-value) or Sig. index in SPSS has a value less than or equal to the significance level α, the hypothesis H0 is rejected and vice versa. With this testing procedure, the study can evaluate the difference in behavioral trends between demographic groups.
CHAPTER 4
RESEARCH RESULTS
During two months, 1,100 survey questionnaires were distributed to mobile phone users in the inner city of Hanoi using various methods such as direct interviews, sending via email or using questionnaires designed on the Internet. At the end of the survey, after checking and eliminating erroneous questionnaires, the study collected 858 complete questionnaires, equivalent to a rate of about 78%. In addition, the research subjects of the thesis are only people who are using mobile phones, so people who do not use mobile phones are not within the scope of the thesis, therefore, the questionnaires with the option of not using mobile phones were excluded from the scope of analysis. The number of suitable survey questionnaires included in the statistical analysis was 835.
4.1 Demographic characteristics of the sample
The structure of the survey sample is divided and statistically analyzed according to criteria such as gender, age, occupation, education level and personal income. (Detailed statistical table in Appendix 6)
- Gender structure: Of the 835 completed questionnaires, 49.8% of respondents were male, equivalent to 416 people, and 50.2% were female, equivalent to 419 people. The survey results of the study are completely consistent with the gender ratio in the population structure of Vietnam in general and Hanoi in particular (Male/Female: 49/51).
- Age structure: 36.6% of respondents are <23 years old, equivalent to 306 people. People from 23-34 years old
accounting for the highest proportion: 44.8% equivalent to 374 people, people aged 35-45 and >45 are 70 and 85 people equivalent to 8.4% and 10.2% respectively. Looking at the results of this survey, we can see that the young people - youth account for a large proportion of the total number of people participating in the survey. Meanwhile, the middle-aged people including two age groups of 35 - 45 and >45 have a low rate of participation in the survey. This is completely consistent with the reality when Mobile Marketing is identified as a Marketing service aimed at young people (people under 35 years old).
- Structure by educational level: among 835 valid responses, 541 respondents had university degrees, accounting for the highest proportion of ~ 75%, 102 had secondary school degrees, ~ 13.1%, and 93 had post-graduate degrees, ~ 11.9%.
- Occupational structure: office workers and civil servants are the group with the highest rate of participation with 39.4%, followed by students with 36.6%. Self-employed people account for 12%, retired housewives are 7.8% and other occupational groups account for 4.2%. The survey results show that the student group has the same rate as the group aged <23 at 36.6%. This shows the accuracy of the survey data. In addition, the survey results distributed by occupational criteria have a rate almost similar to the sample division rate in chapter 3. Therefore, it can be concluded that the survey data is suitable for use in analysis activities.
- Income structure: the group with income from 3 to 5 million has the highest rate with 39% of the total number of respondents. This is consistent with the income structure of Hanoi people and corresponds to the average income of the group of civil servants and office workers. Those
People with no income account for 23%, income under 3 million VND accounts for 13% and income over 5 million VND accounts for 25%.
4.2 Mobile phone usage in Hanoi inner city area
According to the survey results, most respondents said they had used the phone for more than 1 year, specifically: 68.4% used mobile phones from 4 to 10 years, 23.2% used from 1 to 3 years, 7.8% used for more than 10 years. Those who used mobile phones for less than 1 year accounted for only a very small proportion of ~ 0.6%. (Table 4.1)
Table 4.1: Time spent using mobile phones
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Alid
<1 year
5
.6
.6
.6
1-3 years
194
23.2
23.2
23.8
4-10 years
571
68.4
68.4
92.2
>10 years
65
7.8
7.8
100.0
Total
835
100.0
100.0
The survey indexes on the time of using mobile phones of consumers in the inner city of Hanoi are very impressive for a developing country like Vietnam and also prove that Vietnamese consumers have a lot of experience using this high-tech device. Moreover, with the majority of consumers surveyed having a relatively long time of use (4-10 years), it partly proves that mobile phones have become an important and essential item in people's daily lives.
When asked about the mobile phone network they are using, 31% of respondents said they are using the network of Vietel company, 29% use the network of
of Mobifone company, 27% use Vinaphone company's network and 13% use networks of other providers such as E-VN telecom, S-fone, Beeline, Vietnammobile. (Figure 4.1).
Figure 4.1: Mobile phone network in use
Compared with the announced market share of mobile telecommunications service providers in Vietnam (Vietel: 36%, Mobifone: 29%, Vinaphone: 28%, the remaining networks: 7%), we see that the survey results do not have many differences. However, the statistics show that there is a difference in the market share of other networks because the Hanoi market is one of the two main markets of small networks, so their market share in this area will certainly be higher than that of the whole country.
According to a report by NielsenMobile (2009) [8], the number of prepaid mobile phone subscribers in Hanoi accounts for 95% of the total number of subscribers, however, the results of this survey show that the percentage of prepaid subscribers has decreased by more than 20%, only at 70.8%. On the contrary, the number of postpaid subscribers tends to increase from 5% in 2009 to 19.2%. Those who are simultaneously using both types of subscriptions account for 10%. (Table 4.2).
Table 4.2: Types of mobile phone subscribers
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
Prepay
591
70.8
70.8
70.8
Pay later
160
19.2
19.2
89.9
Both of the above
84
10.1
10.1
100.0
Total
835
100.0
100.0
The above figures show the change in the psychology and consumption habits of Vietnamese consumers towards mobile telecommunications services, when the use of prepaid subscriptions and junk SIMs is replaced by the use of two types of subscriptions for different purposes and needs or switching to postpaid subscriptions to enjoy better customer care services.
In addition, the majority of respondents have an average spending level for mobile phone services from 100 to 300 thousand VND (406 ~ 48.6% of total respondents). The high spending level (> 500 thousand VND) is the spending level with the lowest number of people with only 8.4%, on the contrary, the low spending level (under 100 thousand VND) accounts for the second highest proportion among the groups of respondents with 25.4%. People with low spending levels mainly fall into the group of students and retirees/housewives - those who have little need to use or mainly use promotional SIM cards. (Table 4.3).
Table 4.3: Spending on mobile phone charges
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
<100,000
212
25.4
25.4
25.4
100-300,000
406
48.6
48.6
74.0
300,000-500,000
147
17.6
17.6
91.6
>500,000
70
8.4
8.4
100.0
Total
835
100.0
100.0
The statistics in Table 4.3 are similar to the percentages in the NielsenMobile survey results (2009) with 73% of mobile phone users having medium spending levels and only 13% having high spending levels.
The survey results also showed that up to 31% ~ nearly one-third of respondents said they sent more than 10 SMS messages/day, meaning that on average they sent 1 SMS message for every working hour. Those with an average SMS message volume (from 3 to 10 messages/day) accounted for 51.1% and those with a low SMS message volume (less than 3 messages/day) accounted for 17%. (Table 4.4)
Table 4.4: Number of SMS messages sent per day
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
<3 news
142
17.0
17.0
17.0
3-10 news
427
51.1
51.1
68.1
>10 news
266
31.9
31.9
100.0
Total
835
100.0
100.0
Similar to sending messages, those with an average message receiving rate (from 3-10 messages/day) accounted for the highest percentage of ~ 55%, followed by those with a high number of messages (over 10 messages/day) ~ 24% and those with a low number of messages received daily (under 3 messages/day) remained at the bottom with 21%. (Table 4.5)
Table 4.5: Number of SMS messages received per day
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
<3 news
175
21.0
21.0
21.0
3-10 news
436
55.0
55.0
76.0
>10 news
197
24.0
24.0
100.0
Total
835
100.0
100.0
When comparing the data of the two result tables 4.4 and 4.5, we can see the reasonableness between the ratio of the number of messages sent and the number of messages received daily by the interview participants.
4.3 Current status of SMS advertising and Mobile Marketing
According to the interview results, in the 3 months from the time of the survey and before, 94% of respondents, equivalent to 785 people, said they received advertising messages, while only a very small percentage of 6% (only 50 people) did not receive advertising messages (Table 4.6).
Table 4.6: Percentage of people receiving advertising messages in the last 3 months
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
Have
785
94.0
94.0
94.0
Are not
50
6.0
6.0
100.0
Total
835
100.0
100.0
The results of Table 4.6 show that consumers in the inner city of Hanoi are very familiar with advertising messages. This result is also the basis for assessing the knowledge, experience and understanding of the respondents in the interview. This is also one of the important factors determining the accuracy of the survey results.
In addition, most respondents said they had received promotional messages, but only 24% of them had ever taken the action of registering to receive promotional messages, while 76% of the remaining respondents did not register to receive promotional messages but still received promotional messages every day. This is the first sign indicating the weaknesses and shortcomings of lax management of this activity in Vietnam. (Table 4.7)
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Methods of statistical analysis of tourism business performance in Vietnam - 1 -
Representing the Regression Results Based on Enterprise Size Using Three Methods. The Purpose of This Regression Is to Analyze the Effect of Enterprise Size on the Impact
+ Awareness and application of statistical methods in assessing FDI efficiency are still limited in both theory and practice, and have not been truly considered an important tool for researching and assessing the FDI situation - the basis for perfecting strategies, policies, planning and FDI management.
+ The FDI economic performance indicators system is incomplete, inconsistent, and lacking in synchronization.

+ In particular, the application of statistical methods is not systematic, is still quite fragmented, and does not promote the interaction between methods well.
+ FDI information sources in general and the economic indicators system in particular are incomplete, asynchronous, and inconsistent, causing difficulties in analyzing economic efficiency as well as other studies on FDI.
+ Investment in statistics in general and data collection for FDI economic analysis in particular is still limited, not meeting practical requirements.
+ The team doing statistics in general, especially analyzing FDI economic efficiency, is still lacking in quantity, has not been invested properly and coordination is limited.
+ The coordination between statistical analysis - management - policy proposal on FDI in general and FDI economic efficiency in particular is not tight, not synchronous and the efficiency is still limited.
CONCLUSION OF CHAPTER 3
With the aim of improving the quality of applying statistical methods in analyzing FDI economic efficiency to contribute to increasing the effectiveness of foreign direct investment activities in Vietnam, the thesis has solved the following problems.
First , an overview of the FDI situation in Vietnam as well as some of its basic impacts on the economy.
Second , to illustrate, the thesis applies statistical methods to analyze FDI economic performance in Vietnam, period 2001-2005, specifically:
+ FDI economic analysis
Research on the efficiency of capital and labor resources based on the combined analysis of total efficiency, incremental efficiency and factor variation.
+ Analyze the impact of economic efficiency on the results of the FDI sector such as VA, budget revenue, export value over time, by factor and combined with analysis by industry or investment form.
In each part, the methods of multi-indicator time series analysis, extended index, and graphs are often combined to study trends and factors affecting the efficiency of capital, assets, and human resources of the FDI sector in a scientific and practical manner. Moreover, total efficiency, incremental efficiency, and factor analysis are often closely combined. In addition, the correlation regression method is also used to study FDI economic efficiency.
Third , the thesis has evaluated the existing problems and causes of FDI economic efficiency, the feasibility of the system of indicators and statistical methods in analyzing FDI economic efficiency in Vietnam.
In summary , to illustrate and demonstrate the feasibility of the ICT and statistical methods, chapter 3 calculated, analyzed and evaluated the economic efficiency of FDI in Vietnam.
RECOMMENDATIONS AND CONCLUSIONS
SOME RECOMMENDATIONS TO IMPROVE QUALITY
OF STATISTICAL ANALYSIS OF FDI ECONOMIC EFFICIENCY IN VIETNAM
+ Raising awareness of the importance of statistical analysis of FDI economic efficiency
Relevant levels, sectors, provinces, cities, units and individuals from central to local levels need to affirm the important role of statistics in improving FDI economic efficiency. In the new conditions, the economy as well as FDI activities have achieved great achievements but still have many shortcomings. As a member of the WTO, facing new opportunities and challenges of regionalization, globalization and the requirements of industrialization and modernization of the country, statistics need to promote their proper role in information collection and processing activities to meet the requirements of economic management in general and FDI in particular. If FDI statistics are not good, it is impossible to analyze and evaluate FDI economic efficiency well. Moreover, if the FDI information system in general and statistical data sources in particular do not meet the needs of investment partners in market research, it will limit the ability to attract FDI to Vietnam.
To improve the quality of FDI statistics, awareness does not stop at just calling for action, but requires a system of specific solutions, ensuring feasibility to turn awareness into practical action of relevant levels, ministries, branches, localities and units.
To raise awareness and the role of statistics, the first priority is to perfect the statistical system on FDI from data collection and synthesis.
to analyze and provide a reliable basis for increasingly effective activities of building strategies, planning, policies, monitoring, inspection, evaluation and management of FDI.
+ Improve the quality of data collection and statistical analysis of FDI economic efficiency.
- Completing the FDI statistical indicators system
The General Statistics Office, the Ministry of Planning and Investment and relevant ministries and sectors need to complete the FDI statistical indicator system to improve the ability to synthesize, analyze and evaluate FDI economic efficiency in a synchronous, complete, unified, timely, transparent, multi-functional and consistent with international statistics.
The FDI statistical indicator system not only has enough subsystems on costs, resources (capital and human resources) and results, but each subsystem must have enough basic indicators to meet the requirements for assessing FDI economic efficiency and other macro management requirements on FDI. In particular, regarding FDI capital, in addition to registered capital, there must be enough data on implemented capital of domestic and foreign parties to serve as a basis for determining important new result indicators (See section 2.1.3.1 of chapter 2). Regarding the result indicator subsystem, in addition to VA, NVA, ..., new result indicators such as net added value calculated separately for FDI capital, net export value calculated separately for FDI capital, budget revenue calculated separately for FDI capital ... (See section 2.1.3.1 of chapter 2) need to be determined to reflect and analyze more accurately the benefits that the investment recipient country receives separately for FDI capital.
FDI economic efficiency indicators need to be completed and unified in terms of name, symbol, content, scope, time and calculation method (See section 2.1.3, chapter 2). Specifically, the FDI economic efficiency indicator system needs to have a subsystem of total economic efficiency indicators and a subsystem of increased economic efficiency indicators, in each subsystem there is a group of efficiency indicators in the positive form and a group of efficiency indicators in the positive form.
In which, each group of indicators includes a subgroup reflecting the economic efficiency of costs and a subgroup reflecting the economic efficiency of resources.
The system of FDI statistical indicators needs to be consistent with the system of economic indicators of the economy and follow international statistical trends to ensure the ability to synthesize, compare and analyze FDI activities with domestic investment as well as with other countries.
In addition, the inflation index needs to be studied and determined to eliminate the inflation factor in the process of statistical research in general and FDI economic efficiency analysis in particular. Because when using comparative prices, it means excluding the price fluctuation factor - an important factor that needs to be taken into account in both micro and macro market economies - so the efficiency analysis is often inaccurate and inconsistent with the market mechanism.
To ensure consistency, the system of tables, regimes, forms and reporting times... need to continue to be improved and implemented with inspection, with rewards and sanctions strong enough to enhance the legality and feasibility of the FDI statistics system. To do so, it is necessary to first of all propagate and mobilize FDI enterprises as well as relevant departments to affirm that transparency is an urgent requirement, both a right and a legal obligation that all relevant units must seriously implement.
- Strengthen the application of statistical methods to analyze FDI economic efficiency in research, evaluation and management of FDI.
The application of statistical methods to analyze FDI economic performance must comply with the following guidelines:
* Combine economic efficiency analysis with some important FDI economic performance indicators such as NNVA*, budget revenue calculated separately for FDI capital... to both evaluate the quality as well as the economic and social benefits of FDI;
* Analysis of the effectiveness of FDI costs and resources includes:
Cost effectiveness;
Capital efficiency;
Efficiency of fixed assets;
Labor efficiency.
This is the basis for analyzing and evaluating the effectiveness of each type of resource to know their advantages, disadvantages, and quality of operation in order to have appropriate incentive and management solutions for each factor, thereby helping to improve the overall economic efficiency of FDI.
* When analyzing the effectiveness of each type of resource as well as economic results, it is necessary to study from the following perspectives:
Industry
Province, city
Investment form
Investment partners
Export processing zone or industrial park
This is the basis for evaluating the effectiveness, advantages, disadvantages, existence of FDI and their causes for each province, city, industry, etc.; helping to compare and study the fluctuations in FDI economic efficiency between them. Moreover, this is also a reliable basis for building, perfecting strategies, planning, adjusting policies, and managing in accordance with the current situation of the FDI sector as well as each industry, province, city, investment form or for each export processing zone or industrial park.
* Combine overall efficiency analysis with incremental efficiency to study their causes and trends.
160
* To improve the capacity of FDI economic analysis, it is necessary to combine the application of statistical methods, especially new methods such as:
- Multi-indicator graph method to analyze the relationship between related indicators, thereby helping to assess the fluctuation trend of FDI economic performance over time (See section 2.2.2.2, chapter 2);
- Multi-indicator time series analysis method to analyze the fluctuations of related indicators as well as the relationship between them, thereby assessing the fluctuations of FDI economic performance over time (See section 2.2.2.3, chapter 2);
- Extended index method to simultaneously analyze the fluctuation trend of FDI economic efficiency as well as factors affecting the movement of efficiency over different periods (See section 2.2.2.5, chapter 2).
- About implementation
* On the basis of the Law on Statistics, strengthen coordination among relevant departments and agencies in research and implementation in the collection, processing, assessment, planning and management of FDI.
* The FDI statistics system from central, local to export processing zones needs to be coordinated and perfected in terms of functions, tasks, organizational structure, mechanisms and operating conditions to ensure information for the synthesis, analysis and assessment of FDI economic efficiency in a synchronous, unified, transparent manner, avoiding duplication, with feasibility, mutual support and high efficiency both vertically and horizontally.
* The data collection mechanism needs to be improved to avoid inconvenience to related enterprises and units; ensure the principle of transparency; fully comply with regulations on statistical reporting and laws. FDI enterprises and related units have the authority and responsibility to comply with the Law, regulations on collecting, reporting and processing FDI data. In addition to raising awareness, the information system needs to be implemented mainly through enhancing the feasibility of state and legal tools.
* Indicators on capital, human resources, costs and FDI results need to be collected and synthesized not only for the entire economy but also by industry, locality and investment form to have a good source of data for effective statistical analysis according to these criteria.
* Improve the quality of personnel work from the selection, training, fostering, use, appointment and control stages in the direction of ensuring quantity, good professional qualifications, high sense of responsibility, modern and suitable implementation conditions. Staff in charge of FDI statistics need to have expertise in statistics and FDI. Relevant units need to coordinate to organize professional training courses for their staff, especially focusing on the application of statistical methods to analyze FDI economic efficiency.
The method of providing information needs to be improved to facilitate investors as well as research units to increase investment attraction and serve as a basis for research and analysis of FDI economic efficiency.
Strengthen the powerful head to improve the ability to collect, process, and transmit data of the information system in an open, multilingual, and multifunctional direction.



![Mobile Phone Usage in Hanoi Inner City Area
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- Test the relationship between demographic variables and consumer behavior for Mobile Marketing activities
The analysis method used is the Chi-square test (χ2), with statistical hypotheses H0 and H1 and significance level α = 0.05. In case the P index (p-value) or Sig. index in SPSS has a value less than or equal to the significance level α, the hypothesis H0 is rejected and vice versa. With this testing procedure, the study can evaluate the difference in behavioral trends between demographic groups.
CHAPTER 4
RESEARCH RESULTS
During two months, 1,100 survey questionnaires were distributed to mobile phone users in the inner city of Hanoi using various methods such as direct interviews, sending via email or using questionnaires designed on the Internet. At the end of the survey, after checking and eliminating erroneous questionnaires, the study collected 858 complete questionnaires, equivalent to a rate of about 78%. In addition, the research subjects of the thesis are only people who are using mobile phones, so people who do not use mobile phones are not within the scope of the thesis, therefore, the questionnaires with the option of not using mobile phones were excluded from the scope of analysis. The number of suitable survey questionnaires included in the statistical analysis was 835.
4.1 Demographic characteristics of the sample
The structure of the survey sample is divided and statistically analyzed according to criteria such as gender, age, occupation, education level and personal income. (Detailed statistical table in Appendix 6)
- Gender structure: Of the 835 completed questionnaires, 49.8% of respondents were male, equivalent to 416 people, and 50.2% were female, equivalent to 419 people. The survey results of the study are completely consistent with the gender ratio in the population structure of Vietnam in general and Hanoi in particular (Male/Female: 49/51).
- Age structure: 36.6% of respondents are <23 years old, equivalent to 306 people. People from 23-34 years old
accounting for the highest proportion: 44.8% equivalent to 374 people, people aged 35-45 and >45 are 70 and 85 people equivalent to 8.4% and 10.2% respectively. Looking at the results of this survey, we can see that the young people - youth account for a large proportion of the total number of people participating in the survey. Meanwhile, the middle-aged people including two age groups of 35 - 45 and >45 have a low rate of participation in the survey. This is completely consistent with the reality when Mobile Marketing is identified as a Marketing service aimed at young people (people under 35 years old).
- Structure by educational level: among 835 valid responses, 541 respondents had university degrees, accounting for the highest proportion of ~ 75%, 102 had secondary school degrees, ~ 13.1%, and 93 had post-graduate degrees, ~ 11.9%.
- Occupational structure: office workers and civil servants are the group with the highest rate of participation with 39.4%, followed by students with 36.6%. Self-employed people account for 12%, retired housewives are 7.8% and other occupational groups account for 4.2%. The survey results show that the student group has the same rate as the group aged <23 at 36.6%. This shows the accuracy of the survey data. In addition, the survey results distributed by occupational criteria have a rate almost similar to the sample division rate in chapter 3. Therefore, it can be concluded that the survey data is suitable for use in analysis activities.
- Income structure: the group with income from 3 to 5 million has the highest rate with 39% of the total number of respondents. This is consistent with the income structure of Hanoi people and corresponds to the average income of the group of civil servants and office workers. Those
People with no income account for 23%, income under 3 million VND accounts for 13% and income over 5 million VND accounts for 25%.
4.2 Mobile phone usage in Hanoi inner city area
According to the survey results, most respondents said they had used the phone for more than 1 year, specifically: 68.4% used mobile phones from 4 to 10 years, 23.2% used from 1 to 3 years, 7.8% used for more than 10 years. Those who used mobile phones for less than 1 year accounted for only a very small proportion of ~ 0.6%. (Table 4.1)
Table 4.1: Time spent using mobile phones
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Alid
<1 year
5
.6
.6
.6
1-3 years
194
23.2
23.2
23.8
4-10 years
571
68.4
68.4
92.2
>10 years
65
7.8
7.8
100.0
Total
835
100.0
100.0
The survey indexes on the time of using mobile phones of consumers in the inner city of Hanoi are very impressive for a developing country like Vietnam and also prove that Vietnamese consumers have a lot of experience using this high-tech device. Moreover, with the majority of consumers surveyed having a relatively long time of use (4-10 years), it partly proves that mobile phones have become an important and essential item in peoples daily lives.
When asked about the mobile phone network they are using, 31% of respondents said they are using the network of Vietel company, 29% use the network of
of Mobifone company, 27% use Vinaphone companys network and 13% use networks of other providers such as E-VN telecom, S-fone, Beeline, Vietnammobile. (Figure 4.1).
Figure 4.1: Mobile phone network in use
Compared with the announced market share of mobile telecommunications service providers in Vietnam (Vietel: 36%, Mobifone: 29%, Vinaphone: 28%, the remaining networks: 7%), we see that the survey results do not have many differences. However, the statistics show that there is a difference in the market share of other networks because the Hanoi market is one of the two main markets of small networks, so their market share in this area will certainly be higher than that of the whole country.
According to a report by NielsenMobile (2009) [8], the number of prepaid mobile phone subscribers in Hanoi accounts for 95% of the total number of subscribers, however, the results of this survey show that the percentage of prepaid subscribers has decreased by more than 20%, only at 70.8%. On the contrary, the number of postpaid subscribers tends to increase from 5% in 2009 to 19.2%. Those who are simultaneously using both types of subscriptions account for 10%. (Table 4.2).
Table 4.2: Types of mobile phone subscribers
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
Prepay
591
70.8
70.8
70.8
Pay later
160
19.2
19.2
89.9
Both of the above
84
10.1
10.1
100.0
Total
835
100.0
100.0
The above figures show the change in the psychology and consumption habits of Vietnamese consumers towards mobile telecommunications services, when the use of prepaid subscriptions and junk SIMs is replaced by the use of two types of subscriptions for different purposes and needs or switching to postpaid subscriptions to enjoy better customer care services.
In addition, the majority of respondents have an average spending level for mobile phone services from 100 to 300 thousand VND (406 ~ 48.6% of total respondents). The high spending level (> 500 thousand VND) is the spending level with the lowest number of people with only 8.4%, on the contrary, the low spending level (under 100 thousand VND) accounts for the second highest proportion among the groups of respondents with 25.4%. People with low spending levels mainly fall into the group of students and retirees/housewives - those who have little need to use or mainly use promotional SIM cards. (Table 4.3).
Table 4.3: Spending on mobile phone charges
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
<100,000
212
25.4
25.4
25.4
100-300,000
406
48.6
48.6
74.0
300,000-500,000
147
17.6
17.6
91.6
>500,000
70
8.4
8.4
100.0
Total
835
100.0
100.0
The statistics in Table 4.3 are similar to the percentages in the NielsenMobile survey results (2009) with 73% of mobile phone users having medium spending levels and only 13% having high spending levels.
The survey results also showed that up to 31% ~ nearly one-third of respondents said they sent more than 10 SMS messages/day, meaning that on average they sent 1 SMS message for every working hour. Those with an average SMS message volume (from 3 to 10 messages/day) accounted for 51.1% and those with a low SMS message volume (less than 3 messages/day) accounted for 17%. (Table 4.4)
Table 4.4: Number of SMS messages sent per day
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
<3 news
142
17.0
17.0
17.0
3-10 news
427
51.1
51.1
68.1
>10 news
266
31.9
31.9
100.0
Total
835
100.0
100.0
Similar to sending messages, those with an average message receiving rate (from 3-10 messages/day) accounted for the highest percentage of ~ 55%, followed by those with a high number of messages (over 10 messages/day) ~ 24% and those with a low number of messages received daily (under 3 messages/day) remained at the bottom with 21%. (Table 4.5)
Table 4.5: Number of SMS messages received per day
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
<3 news
175
21.0
21.0
21.0
3-10 news
436
55.0
55.0
76.0
>10 news
197
24.0
24.0
100.0
Total
835
100.0
100.0
When comparing the data of the two result tables 4.4 and 4.5, we can see the reasonableness between the ratio of the number of messages sent and the number of messages received daily by the interview participants.
4.3 Current status of SMS advertising and Mobile Marketing
According to the interview results, in the 3 months from the time of the survey and before, 94% of respondents, equivalent to 785 people, said they received advertising messages, while only a very small percentage of 6% (only 50 people) did not receive advertising messages (Table 4.6).
Table 4.6: Percentage of people receiving advertising messages in the last 3 months
Frequency
Ratio (%)
Valid Percentage
Cumulative Percentage
Valid
Have
785
94.0
94.0
94.0
Are not
50
6.0
6.0
100.0
Total
835
100.0
100.0
The results of Table 4.6 show that consumers in the inner city of Hanoi are very familiar with advertising messages. This result is also the basis for assessing the knowledge, experience and understanding of the respondents in the interview. This is also one of the important factors determining the accuracy of the survey results.
In addition, most respondents said they had received promotional messages, but only 24% of them had ever taken the action of registering to receive promotional messages, while 76% of the remaining respondents did not register to receive promotional messages but still received promotional messages every day. This is the first sign indicating the weaknesses and shortcomings of lax management of this activity in Vietnam. (Table 4.7)
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