Careful selection of station locations can eliminate the influence of major tectonic activities. Averaging all selected data can yield small errors in global sea level estimates. Sea level changes based on satellite data are measured relative to the center of mass of the earth, and are therefore not affected by geological movements.
Since 1992, global mean sea level has been calculated and updated every 10 days from the TOPEX/Poseidon (T/P) satellite and the JASON satellite from 660S to 660N (Nerem and Mitchum, 2001). Calculations by Cazenave and Nerem (2004) showed a sea level rise of 3.1 ± 0.7 mm/year during the period 1993 - 2003, a significant part of which was due to changes in the southern seas.
Table 1.1: Sea level rise scenarios compared to the period 1890 - 1999
Script
21st Century Milestones | |||||||||
2020 | 2030 | 2040 | 2050 | 2060 | 2070 | 2080 | 2090 | 2100 | |
Low (B1) | 11 | 17 | 23 | 28 | 35 | 42 | 50 | 57 | 65 |
Average (B2) | 12 | 17 | 23 | 30 | 37 | 46 | 54 | 64 | 75 |
High (A1FI) | 12 | 17 | 24 | 33 | 44 | 57 | 71 | 86 | 100 |
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Mobile Phone Usage in Hanoi Inner City Area
zt2i3t4l5ee
zt2a3gsconsumer,consumption,consumer behavior,marketing,mobile marketing
zt2a3ge
zc2o3n4t5e6n7ts
- 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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Identify Rating Levels and Rating Scales
zt2i3t4l5ee
zt2a3gstourism,quan lan,quang ninh,ecology,ecotourism,minh chau,van don,geography,geographical basis,tourism development,science
zt2a3ge
zc2o3n4t5e6n7ts
of the islanders. Therefore, this indicator will be divided into two sub-indicators:
a1. Natural tourism attractiveness a2. Cultural tourism attractiveness
b. Tourist capacity
The two island communes in Quan Lan have different capacities to receive tourists. Minh Chau Commune is home to many standard hotels and resorts, attracting high-income domestic and international tourists. Meanwhile, Quan Lan Commune has many motels mainly built and operated by local people, so the scale and quality are not high, and will be suitable for ordinary tourists such as students.
c. Time of exploitation of Quan Lan Island Commune:
Quan Lan tourism is seasonal due to weather and climate conditions and festivals only take place on certain days of the year, specifically in spring. In Quan Lan commune, the period from April to June and from September to November is considered the best time to visit Quan Lan because the cultural tourism activities are mainly associated with festivals taking place during this time.
Minh Chau island commune:
Tourism exploitation time is all year round, because this is a place with a number of tourist attractions with diverse ecosystems such as Bai Tu Long National Park Research Center, Tram forest, Turtle Laying Beach, so besides coming to the beach for tourism and vacation in the summer, Minh Chau will attract research groups to come for tourism combined with research at other times of the year.
d. Sustainability
The sustainability of ecotourism sites in Quan Lan and Minh Chau communes depends on the sensitivity of the ecosystems to climate changes.
landscape. In general, these tourist destinations have a fairly high level of sustainability, because they are natural ecosystems, planned and protected. However, if a large number of tourists gather at certain times, it can exceed the carrying capacity and affect the sustainability of the environment (polluted beaches, damaged trees, animals moving away from their habitats, etc.), then the sustainability of the above ecosystems (natural ecosystems, human ecosystems) will also be affected and become less sustainable.
e. Location and accessibility
Both island communes have ports to take tourists to visit from Van Don wharf:
- Quan Lan – Van Don traffic route:
Phuc Thinh – Viet Anh high-speed boat and Quang Minh high-speed boat, depart at 8am and 2pm from Van Don to Quan Lan, and at 7am and 1pm from Quan Lan to Van Don. There are also wooden boats departing at 7am and 1pm.
- Van Don - Minh Chau traffic route:
Chung Huong high-speed train, Minh Chau train, morning 7:30 and afternoon 13:30 from Van Don to Minh Chau, morning 6:30 and afternoon 13:00 from Minh Chau to Van Don.
f. Infrastructure
Despite receiving investment attention, the issue of infrastructure and technical facilities for tourism on Quan Lan Island is still an issue that needs to be resolved because it has a direct impact on the implementation of ecotourism activities. The minimum conditions for serving tourists such as accommodation, electricity, water, communication, especially medical services, and security work need to be given top priority. Ecotourism spots in Minh Chau commune are assessed to have better infrastructure and technical facilities for tourism because there are quite complete and synchronous conditions for serving tourists, meeting many needs of domestic and foreign tourists.
3.2.1.4. Determine assessment levels and assessment scales
Corresponding to the levels of each criterion, the index is the score of those levels in the order of 4, 3, 2, 1 decreasing according to the standard of each level: very attractive (4), attractive (3), average (2), less attractive (1).
3.2.1.5. Determining the coefficients of the criteria
For the assessment of DLST in the two communes of Quan Lan and Minh Chau islands, the students added evaluation coefficients to show the importance of the criteria and indicators as follows:
Coefficient 3 with criteria: Attractiveness, Exploitation time. These are the 2 most important criteria for attracting tourists to tourism in general and eco-tourism in particular, so they have the highest coefficient.
Coefficient 2 with criteria: Capacity, Infrastructure, Location and accessibility . Because the assessment area is an island commune of Van Don district, the above criteria are selected by the author with appropriate coefficients at the average level.
Coefficient 1 with criteria: Sustainability. Quan Lan has natural and human-made ecotourism sites, with high biodiversity and little impact from local human factors. Most of the ecotourism sites are still wild, so they are highly sustainable.
3.2.1.6. Results of DLST assessment on Quan Lan island
a. Assessment of the potential for natural tourism development
For Minh Chau commune:
+ Natural tourism attractiveness is determined to be very attractive (4 points) and the most important coefficient (coefficient 3), so the score of the Attractiveness criterion is 4 x 3 = 12.
+ Capacity is determined as average (2 points) and the coefficient is quite important (coefficient 2), then the score of Capacity criterion is 2 x 2 = 4.
+ Exploitation time is long (4 points), the most important coefficient (coefficient 3) so the score of the Exploitation time criterion is 4 x 3 = 12.
+ Sustainability is determined as sustainable (4 points), the important coefficient is the average coefficient (coefficient 1), so the score of the Sustainability criterion is 4 x 1 = 4 points
+ Location and accessibility are determined to be quite favorable (2 points), the coefficient is quite important (coefficient 2), the criterion score is 2 x 2 = 4 points.
+ Infrastructure is assessed as good (3 points), the coefficient is quite important (coefficient 2), then the score of the Infrastructure criterion is 3 x 2 = 6 points.
The total score for evaluating DLST in Minh Chau commune according to 6 evaluation criteria is determined as: 12 + 4 + 12 + 4 + 4 + 6 = 42 points
Similar assessment for Quan Lan commune, we have the following table:
Table 3.3: Assessment of the potential for natural ecotourism development in Quan Lan and Minh Chau communes
Attractiveness of self-tourismof course
Capacity
Mining time
Sustainability
Location and accessibility
Infrastructure
Result
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
CommuneMinh Chau
12
12
4
8
12
12
4
4
4
8
6
8
42/52
Quan CommuneLan
6
12
6
8
9
12
4
4
4
8
4
8
33/52
b. Assessment of the potential for humanistic tourism development
For Quan Lan commune:
+ The attractiveness of human tourism is determined to be very attractive (4 points) and the most important coefficient (coefficient 3), so the score of the Attractiveness criterion is 4 x 3 = 12.
+ Capacity is determined to be large (3 points) and the coefficient is quite important (coefficient 2), then the score of the Capacity criterion is 3 x 2 = 6.
+ Mining time is average (3 points), the most important coefficient (coefficient 3) so the score of the Mining time criterion is 3 x 3 = 9.
+ Sustainability is determined as sustainable (4 points), the important coefficient is the average coefficient (coefficient 1), so the score of the Sustainability criterion is 4 x 1 = 4 points.
+ Location and accessibility are determined to be quite favorable (2 points), the coefficient is quite important (coefficient 2), the criterion score is 2 x 2 = 4 points.
+ Infrastructure is rated as average (2 points), the coefficient is quite important (coefficient 2), then the score of the Infrastructure criterion is 2 x 2 = 4 points.
The total score for evaluating DLST in Quan Lan commune according to 6 evaluation criteria is determined as: 12 + 6 + 6 + 4 + 4 + 4 = 36 points.
Similar assessment with Minh Chau commune we have the following table:
Table 3.4: Assessment of the potential for developing humanistic eco-tourism in Quan Lan and Minh Chau communes
Attractiveness of human tourismliterature
Capacity
Mining time
Sustainability
Location and accessibility
Infrastructure
Result
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Quan CommuneLan
12
12
6
8
9
12
4
4
4
8
4
8
39/52
Minh CommuneChau
6
12
4
8
12
12
4
4
4
8
6
8
36/52
Basically, both Minh Chau and Quan Lan localities have quite favorable conditions for developing ecotourism. However, Quan Lan commune has more advantages to develop ecotourism in a humanistic direction, because this is an area with many famous historical relics such as Quan Lan Communal House, Quan Lan Pagoda, Temple worshiping the hero Tran Khanh Du, ... along with local festivals held annually such as the wind praying ceremony (March 15), Quan Lan festival (June 10-19); due to its location near the port and long exploitation time, the beaches in Quan Lan commune (especially Quan Lan beach) are no longer hygienic and clean to ensure the needs of tourists coming to relax and swim; this is also an area with many beautiful landscapes such as Got Beo wind pass, Ong Phong head, Voi Voi cave, but the ability to access these places is still very limited (dirt hill road, lots of gravel and rocks), especially during rainy and windy times; In addition, other natural resources such as mangrove forests and sea worms have not been really exploited for tourism purposes and ecotourism development. On the contrary, Minh Chau commune has more advantages in developing ecotourism in the direction of natural tourism, this is an area with diverse ecosystems such as at Rua De Beach, Bai Tu Long National Park Conservation Center...; Minh Chau beach is highly appreciated for its natural beauty and cleanliness, ranked in the top ten most beautiful beaches in Vietnam; Minh Chau commune is also home to Tram forest with a large area and a purity of up to 90%, suitable for building bridges through the forest (a very effective type of natural ecotourism currently applied by many countries) for tourists to sightsee, as well as for the purpose of studying and researching.
Figure 3.1: Thenmala Forest Bridge (India) Source: https://www.thenmalaecotourism.com/(August 21, 2019)
3.2.2. Using SWOT matrix to evaluate Quan Lan island tourism
General assessment of current tourism activities of Quan Lan island is shown through the following SWOT matrix:
Table 3.5: SWOT matrix evaluating tourism activities on Quan Lan island
Internal agent
Strengths- There is a lot of potential for tourism development, especially natural ecotourism and humanistic ecotourism.- The unskilled labor force is relatively abundant.- resource environmentunpolluted, still
Weaknesses- Poorly developed infrastructure, especially traffic routes to tourist destinations on the island.- The team of professional staff is still weak.- Tourism products in general
quite wild, originalintact
general and DLST in particularalone is monotonous.
External agents
Opportunity- Tourism is a key industry in the socio-economic development strategy of the province and Van Don economic zone.- Quan Lan was selected as a pilot area for eco-tourism development within the framework of the green growth project between Quang Ninh province and the Japanese organization JICA.- The flow of tourists and especially ecotourism in the world tends toincreasing
Challenge- Weather and climate change abnormally.- Competition in tourism products is increasingly fierce, especially with other localities in the province such as Ha Long, Mong Cai...- Awareness of tourists, especially domestic tourists, about ecotourism and nature conservation is not high.
Through summary analysis using SWOT matrix we see that:
To exploit strengths and take advantage of opportunities, it is necessary to:
- Diversify products and service types (build more tourism routes aimed at specific needs of tourists: experiential tourism immersed in nature, spiritual cultural tourism...)
- Effective exploitation of resources and differentiated products (natural resources and human resources)
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The Preposition “Auf” Viewed From a Cognitive Perspective Compared with Vietnamese -
The Level of Emotional Intelligence of Investigators in the Security Investigation Department of the Ministry of Public Security -
Competing Competitive Advantages of Convenient Air and Sea Access

Source: Ministry of Natural Resources and Environment, 2009
1.2.2. Climate change and sea level rise in Vietnam
In Vietnam over the past 50 years, the average annual temperature has increased by about 0.7 0 C, and sea levels have risen by about 20 cm. The El - Nino and La - Nina phenomena are increasingly affecting Vietnam. Climate change has really made natural disasters, especially storms, floods, and droughts, more and more severe. According to calculations, the average temperature in Vietnam could increase by 3 0 C and sea levels could rise by 1 m by 2100.
According to the World Bank, Vietnam is one of five countries that will be severely affected by climate change and rising sea levels, of which the Red River Delta and the Mekong River Delta will be the most severely flooded. If the sea level rises by 1 meter, about 10% of the population will be directly affected, with a loss of about 10% of GDP. If the sea level rises by 3 meters, about 25% of the population may be directly affected and the loss of
The loss to GDP is about 25% of the approximately 40 thousand km2 coastal plain of Vietnam.
The South will be flooded every year, of which 80% of the area in the Mekong Delta provinces will be almost completely flooded.
a. Current status of climate change in Vietnam
- Temperature: Over the past 50 years (1951 - 2000), the average annual temperature of Vietnam has increased by 0.7 0 C. The average annual temperature of the last 4 decades (1961-2000) was higher than the average annual temperature of the previous 3 decades (1931-1960). The average annual temperature of the decade 1991-2000 in Hanoi, Da Nang, and Ho Chi Minh City was higher than the average of the decade 1940 by 0.8; 0.4; 0.6 o C, respectively. In 2007, the average annual temperature of all 3 places was higher.
- Rainfall: in each location, the change trend of average annual rainfall in the past 9 decades (1911 - 2000) is not clear according to different periods and regions: there are periods of increase and periods of decrease. In Vietnam, the change trend of rainfall is also very different between regions.
- Sea level: According to observation data over the past 50 years at Cua Ong and Hon Dau stations, sea level has risen by 20 cm, consistent with the global trend in the last two decades (late 20th and early 21st). In 1994 and 2007, there were only 15-16 cold spells, equal to 56% of the average of many years. Some of the most recent abnormal manifestations of climate change were the severe cold spell that lasted 38 days in January and February 2008, causing great damage to agricultural production.
- Storms: In recent years, the number of storms with stronger intensity has increased, the storm trajectory has shifted towards southern latitudes and the storm season ends later, many storms have more unusual trajectory changes.
- Number of drizzle days: in Hanoi has gradually decreased over the past decade and has been reduced to nearly half (15 days/year) in recent years.
b. Sea level rise scenarios and impacts in Vietnam
* Sea level rise scenarios in Vietnam
According to the Ministry of Natural Resources and Environment, the greenhouse gas emission scenarios selected to calculate and develop sea level rise scenarios for Vietnam are the low emission scenario (B1 scenario), the medium emission scenario of the medium emission scenario group (B2 scenario) and the highest emission scenario of the high emission scenario group (A1FI scenario). The sea level rise scenarios are developed for seven
Coastal areas of Vietnam, including: (1) Coastal areas from Mong Cai to Hon Dau; (2) Coastal areas from Hon Dau to Deo Ngang; (3) Coastal areas from Deo Ngang to Hai Van Pass; (4) Coastal areas from Hai Van Pass to Dai Lanh Cape; (5) Coastal areas from Dai Lanh Cape to Ke Ga Cape; (6) Coastal areas from Ke Ga Cape to Ca Mau Cape; and (7) Coastal areas from Ca Mau Cape to Ha Tien.
Table 1.2: Sea level rise under medium emissions scenario (cm)
Area
Year | |||||||||
2020 | 2030 | 2040 | 2050 | 2060 | 2070 | 2080 | 2090 | 2100 | |
Mong Cai - Hon Dau | 7-8 | 11-12 | 15-17 | 20-24 | 25-31 | 31-38 | 36-47 | 42-55 | 49-64 |
Hon Dau - Deo Ngang | 7-8 | 11-13 | 15-18 | 20-24 | 25-32 | 31-39 | 37-48 | 43-56 | 49-65 |
Ngang Pass - Hai Van Pass | 8-9 | 12-13 | 17-19 | 23-25 | 30-33 | 37-42 | 45-51 | 52-61 | 60-71 |
Hai Van Pass - Dai Lanh Cape | 8-9 | 12-13 | 18-19 | 24-26 | 31-35 | 38-44 | 45-53 | 53-63 | 61-74 |
Dai Lanh Cape - Ke Ga Cape | 8-9 | 12-13 | 17-20 | 24-27 | 31-36 | 38-45 | 46-55 | 54-66 | 62-77 |
Ke Ga Cape - Ca Mau Cape | 8-9 | 12-14 | 17-20 | 23-27 | 30-35 | 37-44 | 44-54 | 51-64 | 59-75 |
Ca Mau Cape - Kien Giang Cape | 9-10 | 13-15 | 19-22 | 25-30 | 32-39 | 39-49 | 47-59 | 55-70 | 62-82 |
Source: Ministry of Natural Resources and Environment, 2011
* Risk of flooding
The results of determining areas at risk of flooding according to sea level rise show that: If the sea level rises by 1 m, about 39% of the Mekong Delta area, over 10% of the Red River Delta area and over 2.5% of the area in the central coastal provinces are at risk of flooding. The area of Ho Chi Minh City at risk of flooding is over 20% of the area:
Table 1.3: Area at risk of flooding according to sea level rise (% area)
Water level rise (m)
River Delta Hong and Quang Ninh | Central Coast | Ho Chi Minh City | Mekong Delta | |
0.5 | 4.1 | 0.7 | 13.3 | 5.4 |
0.6 | 5.3 | 0.9 | 14.6 | 9.8 |
0.7 | 6.3 | 1.2 | 15.8 | 15.8 |
0.8 | 8 | 1.6 | 17.2 | 22.4 |
River Delta Hong and Quang Ninh | Central Coast | Ho Chi Minh City | Mekong Delta | |
0.9 | 9.2 | 2.1 | 18.6 | 29.8 |
1 | 10.5 | 2.5 | 20.1 | 39 |
1.2 | 13.9 | 3.6 | 23.2 | 58.8 |
1.5 | 19.7 | 5.3 | 28.1 | 78.5 |
2 | 29.8 | 7.9 | 36.2 | 92.1 |
Water level rise (m)
Source: Ministry of Natural Resources and Environment, 2011
Calculation results based on traffic data from the 2005 Map Publishing House show that if the sea level rises by 1 meter, about 4% of the country's railway system, over 9% of the national highway system and about 12% of the provincial road system will be affected. For the Mekong Delta region, the traffic system is most severely affected with about 28% of national highways and 27% of provincial roads. The traffic system in the Central coastal region has nearly 4% of national highways, nearly 5% of provincial roads and over 4% of the railway system affected. In the Red River Delta region alone, about 5% of national highways, over 6% of provincial roads and nearly 4% of railways will be affected.
At the same time, according to the population data of the General Statistics Office in 2010, nearly 35% of the population in the Mekong Delta provinces, over 9% of the population in the Red River Delta and Quang Ninh were directly affected, about 7% in Ho Chi Minh City alone and nearly 9% of the population in the central coastal provinces were affected.
1.2.3. Some impacts of climate change on mangrove ecosystems
1.2.3.1. Rising sea levels
In their study, Gilman et al. (2007) studied and evaluated the response of the mangrove ecosystem in American Samoa to sea level rise scenarios and simulated the position of the coastline in the recent period. As a result, they presented four scenarios of mangrove response to the impact of sea level rise (Figure 1.4).
a) No relative change in sea level : When sea level does not affect the surface of the mangrove forest, the nature of the bottom, salinity, frequency, duration of flooding and other factors will determine whether the mangrove community can exist continuously and the lower edge of the mangrove forest will remain in the same position (Figure 1.4A).
b) Falling sea level : When sea level falls relative to the mangrove surface, it causes the mangrove forest to move seaward (Figure 1.4B). Mangrove forests can also expand laterally, displacing other coastal habitats to areas adjacent to the mangrove forest, at lower elevations than the mangrove surface, and developing hydrological conditions (duration, depth, and frequency of flooding) suitable for mangrove establishment.
c) Relative sea level rise : If sea level rises relative to the mangrove surface, mangroves will tend to advance seaward and away from the land; species subdivisions (ecological succession in the area) tend to move inland to maintain their adaptation time, frequency and extent of inundation; seaward, mangroves decline, tidal channels widen (Figure 1.4C). For example, in Bermuda, mangroves advancing inland do not keep up with the rate of sea level rise (Ellison, 1993). Mangroves can also grow (expand their distribution area) to the forest edges of areas adjacent to the mangroves, which are currently at higher elevations than their current mangrove surface, developing a suitable hydrological regime.
Environmental stresses affecting mangrove ecosystems from sea level rise include erosion, weakening of tree root structures and gradual toppling of trees, or increased salinity or changes in the timing and intensity of flooding (Ellison, 1993).
d) The movement of mangroves inland through natural regeneration of seedlings (Semeniuk, 1994). Depending on the capacity of the mangrove species and individual trees, mangroves can colonize new habitats at a rate equivalent to the relative rate of sea level rise, the slope of the adjacent land, and the presence of land-side obstacles (Figure 1.4D).
A. Fixed seawater level does not affect RNM
B. Fluctuations in RNM area under the impact of climate change
RNM enters the mainland
RNM encroaches on the sea but the coast is eroded
C. Changes in RNM area under the impact of climate change, in the case of no land-based obstacles
Mangrove forests encroach on the sea but are eroded, encroaching on land and being stuck between dike works. Finally, the mangrove strip is narrowed or disappears.
D. Fluctuations in RNM area under the impact of rising sea levels and being trapped between irrigation works
No change in RNM position
RNM moves inland and encroaches on the sea strongly
Figure 1.4 : Four scenarios of mangrove response to the impact of sea level rise (Gilman et al., 2007)
1.2.3.2. Salinity changes
Mangroves live in the transition zone between the marine and terrestrial environments. The impact of ecological factors affects their existence. However, to date there is no consensus on the role and level of impact of each factor. A common major difficulty is that mangrove species have a very wide range of adaptation to
climate, soil, water, salinity. Therefore, when relying on a specific distribution area to assess the impact of the environment, it may not be applicable to other areas or it is impossible to infer the general properties of this vegetation.
According to Phan Nguyen Hong (1999), salinity is one of the most important factors affecting the growth, survival rate of species and distribution of mangrove forests. This type of forest grows well in places with salt concentrations in water from 10 - 25 o / oo .
Tree size and number of species decreased at high salinity (40 - 80 o / oo ), at salinity of 90 o / oo only
Some mangrove species survive but grow very slowly. In places with very low salinity (<4 o / oo ) there are no natural mangroves. Mangrove species are able to adapt to different salinity ranges:
- Types with wide salt range include:
+ The group that can tolerate high salinity (10 - 35 o / oo ) includes some species of mam, dang, dung, da quanh, parrot column...
+ The group that can tolerate medium high salinity (15 - 30 o / oo ) includes mangroves, cycads, parasitic cycads, and cycads... These species also live in places where salinity changes a lot during the rainy season.
+ The group that tolerates relatively low salinity (7 - 20 o / oo ) has the following species: parrotfish, water fern, water fern, trumpet fern...
- Type with narrow salt range:
+ The group of succulent woody plants that can tolerate high salinity (20 - 33 o / oo ) includes white cork and guava cork.
+ Group of succulent herbs, tolerant to high salinity (25 - 35 o / oo ) includes sea salt, sea cucumber, Hainan hep.
+ Typical brackish water plants (salinity 5 - 15 o / oo ) include water coconut, mangrove,
Roof beams, sea na, water clouds... They are indicator plants for brackish water environments.
+ The group of plants that tolerate brackish soil live on dry land with low salinity (1 - 10 o / oo ) spreading from the inland to moist land along brackish rivers.
When the salt concentration in seawater changes due to the dilution of seawater due to melting ice, the saline environment of mangrove plants will change, some species will exceed the limit of salinity tolerance and have difficulty growing and developing.
In addition, sea level rise gradually exceeds coastal floodplain areas, saltwater has penetrated deep into freshwater areas in rivers and groundwater sources. These phenomena are enhanced by the impact of storms, especially
when storms combine with high tides. As sea levels rise, saltwater will directly intrude into rivers. This saltwater intrusion is not only a consequence of sea level rise, but also a consequence of changes in river discharge. Changes in river discharge are partly a result of climate change (for example, saltwater begins to intrude inland during the dry months when river flows are reduced). Rising sea levels will also increase pressure on aquifers, leading to saltwater intrusion (Islam, 2004).
1.3. The role of RNM in the context of climate change
1.3.1. Economy and biodiversity
Mangrove forests have rich resources of both plants and animals.
Plant resources
Mangrove species give us many products of high economic value if exploited properly.
a. Wood and materials
The wood of mangrove, cypress, cork, and cypress trees is very hard, smooth, and durable, and is used to make house pillars, planks, beams, household items, bridges, and fishing net poles. Wood of miscellaneous trees such as mangrove, cork, and cypress is used to make plywood and paper pulp. Most houses in the rural areas of the South are made of mangrove and cypress wood and roofed with water coconut leaves. These leaves are also used to make boat roofs and other household items.
b. Tanin
Tannin extracted from the bark of mangrove, cypress, and acacia trees has good quality and high ratio, used to dye fabrics, nets, and tanning leather.
c. Fuel
Mangrove trees were the main source of fuel for coastal people in the past. Mangrove charcoal has high calorific value (6,375 - 6,675 kcal/kg) and is slow to burn out.
d. Industrial products
Many tree species such as price, mangrove, and mulberry... have soft white wood that is very good for making paper pulp. The respiratory roots of mulberry are porous and used to make bottle stoppers, caps, and insulators. The wood of mulberry is smooth, reddish brown, and is used to carve beautiful statues and is popular with many people. The leaves and shells of water coconuts are also used to make handicrafts.
d. Food and drink

![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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