From the production and business point of view, for the sake of the existence and development of enterprises, it is necessary to maintain a certain ratio of the enterprise's net income (M 2 ) to the net added value (M 2 / NVA). For the State economic sector, this is the financial basis for enterprises to set up funds; for the private economic sector, it can be considered a legitimate remuneration for enterprise owners.
From the perspective of macroeconomic regulation of the economy, it is necessary to maintain the ratio of state budget payments to net added value. Thus, income distribution in a socialist-oriented market economy must ensure the harmony of three types of interests: the interests of the State, the interests of enterprises and the interests of workers.
In Vietnam as well as in other countries, there are no specific regulations on the ratio of total income distribution according to the above 3 types of benefits. However, in each stage of economic development, the State often uses macroeconomic tools to regulate income such as tax policies, wages, financial and monetary policies, and credit.
a. Income distribution among 3 interests by level I industry
+ About income structure by level I industry
Table 2.19 Average net added value structure of an industrial enterprise by level I industry in 2001-2003
Unit: %
TT value net (NVA) | remuneration Labor (V) | Tax & Pay NS (M 1 ) | Net income DN (M 2 ) | |
General industry level I | ||||
2001 | 100 | 30.0 | 23.9 | 46.1 |
2002 | 100 | 33.3 | 18.0 | 48.7 |
2003 | 100 | 35.9 | 18.9 | 45.2 |
Mining | ||||
2001 | 100 | 65.2 | 6.4 | 28.4 |
2002 | 100 | 63.0 | 6.2 | 30.8 |
2003 | 100 | 64.7 | 6.4 | 28.9 |
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Applying some statistical methods to study the situation of income distribution in enterprises in the Vietnamese industrial sector - 23 -
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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 -
Proposal and Implementation of Measures to Foster Learning Methods for Students at Military Universities Based on the Idea of "Self-Study as the Core"

Processing industry
2001 | 100 | 28.4 | 24.9 | 46.8 |
2002 | 100 | 31.8 | 18.7 | 49.5 |
2003 | 100 | 34.3 | 19.7 | 46.0 |
Production and distribution of electricity, gas and water | ||||
2001 | 100 | 26.6 | 14.4 | 59.0 |
2002 | 100 | 33.5 | 11.3 | 55.2 |
2003 | 100 | 36.6 | 4.8 | 58.5 |
Source: Calculation from the 2001-2003 enterprise survey sample, General Statistics Office. Table 2.19 shows that, in the whole industry, the proportion of first-time income of workers including wages, social insurance and non-wage income accounted for in production costs that enterprises pay directly to workers increased from 30% in 2001 to 35.9% in 2003.
Net income of enterprises accounts for 45.2-48.7% of the total net added value and has a tendency to increase and then decrease in the 3 years 2001-2003. State income including taxes and budget payments accounts for 18-23.9% of the total net added value and has a tendency to decrease. Thus, the income distribution of enterprises in general is in the following proportion: the portion left for enterprises is the largest (45.2-48.7%), the portion distributed to workers is relatively large (30-35.9%), and finally the portion paid to the State budget is the lowest (18-23.9%).
By industry group, we see that the share allocated to labor in the total net value added (V/NVA) of mining enterprises and enterprises in the production and distribution of electricity, gas and water is very large and accounts for about 2/3 of the total net value added. Meanwhile, this share of enterprises in the processing industry and enterprises in the production and distribution of electricity, gas and water accounts for only 1/3 of the total net value added.
Therefore, the remaining income of mining enterprises is not large and accounts for about 1/3 of the total net added value. This part of the enterprise
The processing industry and enterprises in the production and distribution of electricity, gas and water account for more or less half of the total net added value.
Taxes and budget payments of mining enterprises are very small, accounting for only about 6% of total net added value; this portion of enterprises in the production and distribution of electricity, gas and water accounts for about 10% and of enterprises in the processing industry accounts for about 20% (Table 2.19). This shows that the contribution of enterprises to the state budget is not high.
The calculation results show that, in general, the first income of enterprises usually accounts for the largest proportion, followed by the income of workers and then the income of the State. However, if we consider each level I industry separately, we can see that the net income of mining enterprises accounts for a much lower proportion than the income of workers, while the income proportion of enterprises in the processing industry and enterprises in the production and distribution of electricity, gas and water is 1.5 to 2 times larger than the first income proportion of workers. This can be explained by the fact that the investment capital in mining is not much, mainly using human power to exploit nature; meanwhile, the investment capital in production of the processing industry and production and distribution of electricity, gas and water is 2 to 3 times larger than the investment capital in mining production (see Table 2.12).
+ On production and business efficiency by level I industry
The calculated data in Tables 2.19 and 2.20 show that the share of labor in the total net added value of enterprises in the electricity, gas and water production and distribution industry is high (55.2-59%), so the average monthly income of a worker in this enterprise is also high (1.6-1.9 million VND/month/person), and that is also a reason why the labor productivity (61.9-75.5 million VND/person) and the profit margin per worker (34.4-44.6 million VND/person) of this enterprise are high.
The share of labor in the total net added value of mining enterprises is also very high (63-65.2%) and the average monthly income of
The average salary of 1 employee in this enterprise (1.2-1.6 million VND/month/person) is higher than the average, but the labor productivity (23.3-31 million VND/person) and profit margin per employee (6.6-9 million VND/person) of this enterprise are very low.
Table 2.20 Some average production and business efficiency indicators of an industrial enterprise by level I industry in 2001-2003
Unit: million VND/person
Performance indicators | Average income/month/1 worker | ||
Labor productivity/year | Profit margin per employee/year | ||
W=NVA/L | M 2 /L | V/L/12 | |
General industry level I | |||
2001 | 41.8 | 19.3 | 1,045 |
2002 | 43.5 | 21.2 | 1,209 |
2003 | 46.2 | 20.9 | 1,381 |
Mining | |||
2001 | 23.3 | 6.6 | 1,266 |
2002 | 26.4 | 8.1 | 1,388 |
2003 | 31.0 | 9.0 | 1,673 |
Processing industry | |||
2001 | 43.3 | 20.2 | 1,022 |
2002 | 44.9 | 22.2 | 1,190 |
2003 | 47.3 | 21.8 | 1,354 |
Production and distribution of electricity, gas and water | |||
2001 | 75.5 | 44.6 | 1,672 |
2002 | 61.9 | 34.2 | 1,730 |
2003 | 64.4 | 37.7 | 1,967 |
Source: Calculation from 2001-2003 enterprise survey sample, General Statistics Office.
The share of labor in the total net added value of enterprises in the processing industry (28.4-34.3%), the average monthly income of a worker (1-1.3 million VND/month/person) and the profit margin per worker (20.2-22.2 million VND/person) of this enterprise are all below the average. In particular, labor productivity (43.3-47.3 million VND/person) is above the average and ranks second after the electricity, gas and water production and distribution industry.
This shows that although the proportion of the share shared with workers in the total net value added (V/NVA) of mining enterprises is very high, the production activities of these enterprises are inefficient; meanwhile, the production and business efficiency of enterprises in the electricity, gas and water production and distribution industry is very high. The reason may be that the labor force in the mining industry is mainly manual labor, the production cost is high, so the production efficiency is low; meanwhile, the labor force in the electricity, gas and water production and distribution industry has technical expertise, the production cost is lower, so the production efficiency is higher; while the processing industry has low technology content, but uses a lot of labor, so the production efficiency is not high.
b. Income distribution among 3 interests by economic type
+ About income structure by economic type
We see that the income distribution of state-owned enterprises according to 3 benefits is relatively even: the first income of workers accounts for a large proportion of about 37.6-44.8%, the first income of the State from enterprises accounts for about 26.6-31.1% and the net income of state-owned enterprises accounts for about 26.7-31.2% of total income (NVA).
Meanwhile, the portion left for non-state enterprises and foreign-invested enterprises is quite large and they account for about 40.1-51.4% and 55.5-57.9% respectively of the total net value added (NVA). The portion shared with employees of non-state enterprises and foreign-invested enterprises accounts for about 38.6-41.7% and 20.6-28.5% respectively.
Table 2.21 Average net added value structure of an enterprise by economic type in 2001-2003
Unit: %
Net TT Value (NVA) | Labor remuneration (V) | Tax & Pay (M 1 ) | Net income DN (M 2 ) | |
3 types in common | ||||
2001 | 100 | 30.0 | 23.9 | 46.1 |
2002 | 100 | 33.3 | 18.0 | 48.7 |
2003 | 100 | 35.9 | 18.9 | 45.2 |
State-owned enterprise | ||||
2001 | 100 | 37.8 | 31.1 | 31.2 |
2002 | 100 | 37.6 | 26.6 | 35.8 |
2003 | 100 | 44.8 | 28.5 | 26.7 |
Non-state enterprise | ||||
2001 | 100 | 41.7 | 18.2 | 40.1 |
2002 | 100 | 39.4 | 9.3 | 51.4 |
2003 | 100 | 38.6 | 11.6 | 49.8 |
Foreign invested enterprise | ||||
2001 | 100 | 20.6 | 21.5 | 57.9 |
2002 | 100 | 27.3 | 15.4 | 57.3 |
2003 | 100 | 28.5 | 16.0 | 55.5 |
Source: Calculation from the 2001-2003 enterprise survey sample, General Statistics Office. Taxes and budget payments of non-state enterprises are very low, accounting for only 9-18%; this part of foreign-invested enterprises accounts for 15-22%.
net value added (NVA) (Table 2.21).
Thus, state-owned enterprises have the highest contribution rate to the state budget, while non-state enterprises have the lowest contribution rate. The net income ratio of foreign-invested enterprises and non-state enterprises is very high while that of state-owned enterprises is low. The reason may be
The reason is that for non-state enterprises and enterprises with foreign investment, the business owner is the one who invests capital in production, so the remaining portion for the enterprise is more.
+ On production and business efficiency by economic type
Surprisingly, the employee share (V/NVA) of non-state enterprises is higher than that of state-owned enterprises and foreign-invested enterprises, but the average monthly income of a worker in a non-state enterprise is the lowest (0.7-0.9 million VND) and the labor productivity of this enterprise is also the lowest (21.5-29.2 million VND/person) and the profit margin is also low (8.6-14.9 million VND/person).
Table 2.22 Some average production and business efficiency indicators of an enterprise by type in 2001-2003
Unit: million VND/person
Performance indicators | Average income/month/person | ||
Labor productivity/year | Profit margin profit per employee/year | ||
W=NVA/L | M 2 /L | V/L/12 | |
3 types in common | |||
2001 | 41.8 | 19.3 | 1,045 |
2002 | 43.5 | 21.2 | 1,209 |
2003 | 46.2 | 20.9 | 1,381 |
State-owned enterprise | |||
2001 | 33.7 | 10.5 | 1,061 |
2002 | 38.8 | 13.9 | 1,217 |
2003 | 38.5 | 10.3 | 1,439 |
Non-state enterprise
2001 | 21.5 | 8.6 | 0.745 |
2002 | 26.2 | 13.5 | 0.861 |
2003 | 29.9 | 14.9 | 0.963 |
Foreign invested enterprise | |||
2001 | 82.4 | 47.7 | 1,417 |
2002 | 72.0 | 41.2 | 1,642 |
2003 | 75.9 | 42.1 | 1,806 |
Source: Calculation from 2001-2003 enterprise survey sample, General Statistics Office.
The portion allocated to workers in the total net added value of foreign-invested enterprises is not high, but the average monthly income of a worker in this enterprise is high (1.4-1.8 million VND/month/person) and the labor productivity (72-82 million VND/person) and average profit margin (41.2-47.7 million VND/person) of this enterprise are high.
The share of labor in the total net added value of state-owned enterprises is also high, but the average monthly income of a worker in this enterprise is at an average level (1-1.4 million VND/month/person) and the labor productivity (33.7-38.8 million VND/person) and average profit margin (10.3-13.9 million VND/person) of this enterprise are lower than the general average.
There seems to be a paradox between the income distribution of domestic enterprises and foreign-invested enterprises. Domestic enterprises have low labor productivity and profit margins, but the initial income distribution ratio between labor and enterprises seems to be more fair compared to foreign-invested enterprises, where labor productivity and profit margins are high, but the income distribution ratio between labor and enterprises is very different.
It is argued that in order to improve the position and life of workers, the problem is to create all conditions for the net value added NVA to increase continuously. Not only is the NVA pie getting bigger, but the proportion of workers



![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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