employment for workers when their production land is recovered, moreover, the labor force aged 18 - 44 years old accounts for a large number (54.37%), this is the main labor force generating income in households, at the same time, they are also the ones under the most pressure about employment after their means of production are recovered.
- For the group whose agricultural land area was recovered over 50%, the results of the survey of 30 households showed that the majority of the population is concentrated between the ages of 15 and 60, of which the majority are between the ages of 26 and 60, accounting for 47.34% of the total workforce. This is the main force in generating income and ensuring the livelihood of households, but at this age, it is very difficult for workers to participate in advanced training courses, and at the same time, due to their age, it is very difficult for them to change jobs and their ability to find jobs and adapt to the new working environment is still difficult. Therefore, there must be appropriate solutions to create jobs as well as create favorable conditions for them to change jobs. Moreover, the workforce preparing to enter working age (potential workforce) is still quite high, accounting for 19.33%. This is a very big difficulty for households when they have a relatively large area of production land recovered. Because the majority of the population belongs to the labor force, the current pressure to find a job to replace the previous job to generate income and stabilize life is very difficult.
- For group 2: This is the group that had many types of land recovered. The results of the survey of 10 households showed that the majority of workers were between the ages of 18 and 60, accounting for 67.8% of the total population. In particular, the proportion of workers aged 26 and 60 was relatively large, at 49.15%. Therefore, it caused great difficulties in the process of vocational training, job creation and income increase for households after they were repossessed, because at this age, it was very difficult for them to change jobs as well as improve their qualifications and ability to find suitable jobs, especially when households had many areas of land recovered at the same time. In addition, the number of workers under working age in this group was quite high, accounting for 27.73% of the total population.
So a big question here is how to solve long-term stable employment for workers after their land is recovered.
In summary: Through the analysis of the above data table, it can be said that the majority of the population in the surveyed household groups are the main labor force, but the labor force is mainly concentrated in the age group of 26 - 60, causing many difficulties for training, job search and career change of households. However, the number of people who are potential labor force is also quite high, which proves that the birth rate in household groups is still high while the land area is increasingly narrowing. This is indeed a great pressure and challenge for job creation for them after the means of production are recovered. Moreover, for the potential labor force when they enter working age, whether jobs can meet all their requirements or not is an issue that requires attention and resolution from all levels and sectors.
4.2.2.2. Quality of labor resources in the investigated household groups in the area
Labor quality is an indicator reflecting many factors such as: Cultural level, technical expertise, etc. To see the quality of labor in the surveyed household groups, we analyze table 4.4.
Through the data table we see: In general, the education level of workers
in the investigated household groups all reached the average level. Specifically:
The educational level of the group whose agricultural land area was recovered was mostly secondary school level, accounting for 56.59%, while the number of workers with high school level who had graduated or had not graduated accounted for only 34.21%. Although there were no illiterate workers in the households, the rate of highly qualified workers was still low. This was a barrier that made it difficult to attract these workers to businesses as well as labor recruitment agencies. Moreover, their low educational level also made it difficult for them to not only find suitable jobs but also to adapt to the new working environment. Therefore, they were very likely to fall into unemployment after the land acquisition.
Table 4.4. Cultural and technical qualifications of workers in the
household group
Target
Household group 1 (n=50) | Household group 2 (n=10) | |||||
Household with recovered land < 50% (n=20) | Household with recovered land ≥ 50% (n=30) | |||||
Quantity (People) | Proportion (%) | Quantity (People) | Proportion (%) | Quantity (People) | Proportion (%) | |
Total number of employees | 76 | 100 | 109 | 100 | 41 | 100 |
1. Cultural level | ||||||
- Level I | 7 | 9.21 | 12 | 11.01 | 9 | 21.95 |
- Level II | 43 | 56.59 | 63 | 57.80 | 14 | 34.14 |
-Level III | 26 | 34.21 | 34 | 31.20 | 18 | 43.90 |
2. Technical level | ||||||
Total number of employees through training | 19 | 25.00 | 22 | 20.18 | 13 | 31.70 |
- Intermediate, elementary | 13 | 68.42 | 14 | 63.64 | 9 | 69.23 |
- College, University | 6 | 31.58 | 8 | 36.36 | 4 | 30.77 |
Unskilled labor train | 57 | 75 | 87 | 79.82 | 28 | 68.29 |
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Changes in labor structure and employment of people in agricultural land recovery areas: Research in Ngoc My commune, Quoc Oai district, Hanoi and Thien Ke commune, Binh Xuyen district, Vinh Phuc - 25 -
Identify Rating Levels and Rating Scales
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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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Perspectives on Improving the Quality of Law Application in Resolving Land Use Rights Disputes at the People's Court -
Linking Income to Revenue and Labor Quality -
Quality of Law Application in Resolving Land Use Disputes at People's Courts

Source: Data compiled from the author's 2009 survey results
In terms of the level of technical skills of this group, the table shows that: Although the number of workers with high school qualifications in this group is high, accounting for 34.21%, most of the workers have not been trained in technical skills, accounting for 75% of the total number of workers, only 25% have been trained. However, among the trained workers, the majority are intermediate and elementary level, accounting for 68.42%, while university and college level only account for 31.58%. This leads to great difficulty in finding jobs as well as new occupations for workers in household groups, because during the period of world economic integration, businesses as well as labor recruitment establishments often require workers with high technical skills.
Rate (%)
80
70
60
50
40
30
20
10
0
Household with recovered land
<50%
Household with recovered land
>=50%
Group 2
Household group
Trained labor
Untrained workers
Figure 4.3: Technical and professional qualifications of workers in household groups
For the group of households whose agricultural land area was recovered by over 50%, the survey results of 30 households showed that the qualifications of the workers in this group were still mainly general, specifically: the number of workers with secondary education in this group accounted for 57.80% and the number of workers with high school education accounted for 31.20% of the total number of workers.
However, this is only a relative number because in this group, the majority of workers are still non-graduates and dropouts.
It is worth noting that the vast majority of workers in this group of households have not undergone any training, accounting for 79.82% of the total number of workers, only 20.18% have undergone training, but the trained workers are mainly at intermediate and elementary levels, accounting for 63.63%. This is indeed a major barrier and difficulty, especially for the group of households whose entire cultivated land area has been reclaimed.
For group 2 households are the group most affected by the process.
THD, through the investigation results of 10 households shows: In general, the cultural level,
The technical level of the workers is still at the common level, although the rate of workers with high school level is higher than other groups (accounting for 43.90%), the rate of workers with high school level is still high, accounting for 21.95% of the total number of workers. In terms of technical level, 68.29% of the workers have not been trained, however, out of 31.70% who have been trained, 69.23% have intermediate and elementary level. This is a big difficulty in changing occupations as well as finding jobs for households and this is also the reason why after the Industrial Revolution, the majority of workers still keep their old jobs or are unemployed.
Thus, through the analysis of the above data table, we can see the fact that the cultural level as well as the level of technical expertise of the laborers in the household groups are still low, not meeting the requirements of the current labor market. This also proves that the quality of labor in the post-reform household groups is still low. Therefore, in order to solve the problem of employment, increase income and ensure long-term stability of life for these laborers, we must first pay attention to the issue of improving their qualifications, skills and expertise through training and retraining to meet the requirements of the current labor market.
4.2.3. Employment status of households after the land acquisition
We know that most rural people today depend mainly on the only means of production, land, for their jobs. Therefore, after the land area is recovered, the employment problem of the people will be affected first. Therefore, to find a reasonable and suitable solution to create jobs, we must first understand the employment situation of households after the land acquisition.
Trung Thanh Industrial Park is considered an industrial park built on a relatively large agricultural area (50ha), so after the project, most of the local people will be directly affected in terms of employment. To see this impact more clearly, we will examine the employment status of the people after the project through the survey results shown in Table 4.5b.
Through the survey results table, we see that: In general, after the land acquisition, the number of workers continuing to participate in production is still high, while the number of workers participating in other fields and occupations is still low. This shows that farming is a profession that has a great influence on the lives of the people in the area.
Due to the inability to find new jobs, the majority of workers still participate in agricultural production after the cultivated area has decreased. Specifically:
Table 4.5a. Current employment status of surveyed household groups before the TPP
Target
Household group 1 (n=50) | Group 2 (n=10) | |||||
Household with income recovery <50% (n=20) | Group with recovered revenue >=50% (n=30) | |||||
Number quantity | Ratio rate (%) | Number quantity | Ratio rate (%) | Number quantity | billion rate (%) | |
Total number of main employees | 76 | 100 | 109 | 100 | 41 | 100 |
Agricultural labor | 49 | 64.47 | 68 | 62.38 | 27 | 65.85 |
Worker | 9 | 11.84 | 11 | 10.09 | 2 | 4.87 |
Commune officials, state agencies | 3 | 3.94 | 8 | 7.34 | 3 | 7.31 |
Laborer in business and service | 6 | 7.89 | 5 | 4.58 | 2 | 4.87 |
hired labor | 7 | 9.20 | 10 | 9.17 | 3 | 7.31 |
Other CVs | 2 | 2.63 | 7 | 6.42 | 5 | 9.75 |
Source: data compiled from the author's 2009 survey results
Through the survey results of 30 households in the group of households with less than 50% of agricultural land recovered, we see that: After the land acquisition, the number of workers continuing to work in agriculture accounted for 47.36% of the total number of workers.
While the number of workers is only 15.79% compared to before land acquisition (11.84%) (Table 4.5a), this number has increased but the increase rate is very small, only reaching 3.95%. Moreover, after the land acquisition, the rate of workers participating in production and business sectors is still relatively low, accounting for only 7.89% of the total number of workers compared to 7.89% before land acquisition (Table 4.5a), this rate has not changed. The reason why the situation of workers participating in employment sectors before and after land acquisition has changed very little is because compared to other groups, this is the group with the smallest land acquisition area, so after land acquisition, the remaining land area of households is still
still high, so the majority of people do not switch to new jobs but continue their old job of agricultural production.
Table 4.5b. Current employment status of household groups after the resettlement
Target
Household group 1 (n=50) | Group 2 (n=10) | |||||
Household with recovered land <50% (n=20) | Household with recovered land ≥50% (n=30) | |||||
Quantity (People) | Proportion (%) | Quantity (People) | Proportion (%) | Quantity (People) | Proportion (%) | |
Total number of employees main | 76 | 100 | 109 | 100 | 41 | 100 |
Farm labor career | 36 | 47.36 | 43 | 39.45 | 15 | 36.58 |
Worker | 12 | 15.79 | 16 | 14.67 | 7 | 17.07 |
Commune and communal officials State | 5 | 6.57 | 8 | 7.34 | 3 | 7.31 |
Laborers do business, DV | 6 | 7.89 | 11 | 10.09 | 2 | 4.87 |
hired labor | 11 | 14.47 | 22 | 20.18 | 9 | 21.95 |
Other CVs | 6 | 7.89 | 9 | 8.25 | 5 | 12.19 |
Source: Data compiled from the author's 2009 survey results
For the group of households with over 50% of agricultural land recovered, according to the survey results of 30 households, due to the recovery of a large production area, after the land recovery, the rate of labor participating in agricultural production decreased sharply to only 39.45% compared to 62.38% before the land recovery (Table 4.5a), this rate decreased by 22.93%, however, compared to the reality when the production area of households was almost completely recovered, this rate is still quite high. Moreover, the number of laborers not participating in agricultural production is partly due to lack of jobs or unemployment, partly due to switching to work in other fields, especially as hired laborers, so after the land recovery, the number of hired laborers in this group accounted for 20.18% compared to 62.38% before the land recovery.
Compared to 9.17% before the Revolution (Table 4.5a), this rate increased to 11.01%. And the number of workers in business and services accounted for 10.09%, although still low, but compared to 4.58% before the Revolution (Table 4.5a), this rate also increased by 5.51%. The reason why the number of agricultural workers decreased sharply while the rate of workers in other fields increased slowly and insignificantly was because the qualifications of the workers were still limited and they had difficulty adapting to new jobs, so most of them could not find jobs, or if they found them, it was only a temporary, unstable job.
Considering group 2, the group with the most total land recovered, through the survey results of 10 households in table 4.05b, we can see that after the land acquisition, the proportion of agricultural laborers decreased significantly, accounting for only 36.58% compared to 65.85% before the land acquisition (table 4.5a), this proportion decreased by 29.27%, while the number of hired laborers increased sharply, accounting for 20.18% of the total laborers, while before the land acquisition, the number of laborers in this field accounted for only 7.31% (table 4.5a). This shows that after the land acquisition, the majority of agricultural laborers switched to other fields, but the proportion of laborers mainly participated in temporary jobs with unstable incomes such as carpentry, construction workers, etc. Therefore, the rate of unemployed and underemployed laborers is at risk of increasing.
In summary, through analyzing the employment status of workers in household groups, we can see the great impact of the land reform process on the employment of workers in households, therefore a large part of agricultural workers after the land reform are underemployed or may fall into unemployment.
To see this reality and come up with effective solutions to create jobs and increase income for people after the earthquake, let's look at table 4.5c below:





