IMPACT
ASSESSMENT OF CONVERSION OF LAND USE STRUCTURE TO VIET NAM AGRICULTURAL AND
RURAL DEVELOPMENT
PhD. Nguyen
Thi Minh Phuong
Economics Department, Vinh University
Email: minhphuongn78@yahoo.com
Summary: The process of structural
change of land use in Vietnam is fast, the proportion of agricultural land
decreased markedly, the proportion of non-agricultural land increased. Changing
the land use structure impacted on the agricultural and rural development process.
In term of economic terms: The positive impact was contributing to the overall
economic growth of Vietnam.
Besides above positive impacts changing
structure made agricultural land square and the average agricultural land
square per person decreased (0.0540 hectares per person from 2000 to 2010 was
only 0.034 ha / person; incomes’ majority of people reduced, investment in
agriculture was limited. On the society:
positive impact to change the structure of labor and employment; rural
infrastructure which was assessed is better.In term of environment: rural
environment issues was more concerned, those were the positive expression, but the
pollution of some heavy metals in the agricultural land, surface water samples
and the overload status of garbage by
restructuring land use were the negative expression.This article has analyzed
the correlation between the proportion of land to be recovered with
group-economic, social and environmental factors showed that X and Y had the
same proportion and tight, very tight correlation in the two sub-regions with
factors of income per capital; income; career change; rural infrastructure. X
and Y had inversely and correlation weakly with investment in agriculture; social
institutions in rural areas and rural environment was affected.
Key words: Land, agricultural, agricultural
land, rural development , Vietnam
1.
Problem
Changing land
use restructure is considered an important contribution of the global
environmental change. Estimating to indicate that the change of humans land had
affected 40% of the free freezes surface of the earth, mainly due to the
conversion of natural ecosystems to crop land and grass land (Foley and
DeFries, 2005). The impacts of the restructuring of land use on ecosystems were
larger in the tropics areas, where the conversion of agricultural land occurs
primarily on forest lands (Gibbs and RUESCH, 2010). Changing the structure of
land use was a result of the interaction from many factors of economic, social,
and environmental which occurred at many levels and spatial scales (Lambin, and
Geist, 2003). Changing population, urban rural migration, consumption model,
the presence and effectiveness of social organization and land use policies
were all examples of local factors can affect the models of structural change
of land use (Morton and DeFries 2006),
(Lambin and Turner, 2001). Besides, climate change and transformation (example,
droughts, tropical storms) were the important factors influencing on the change
of land (Grau and Aide, 2008). From a regional perspective, certain geographic
areas were easy to be affected by combination of global climate, politics -
social and economic factors affecting land changes (Lambin and Geist, 2003), (O’Brien and
Leichenko, 2000). For example, four of the
ten countries had the highest deforestation rates from 1990 to 2000 (3% or more
each year) is the island nation (Haiti, St. Lucia, Micronesia and Comoros), the
rate of deforestation related to agricultural expansion (for domestic and
international) and infrastructure development (example, roads, ports, housing
and tourism) (Wilkie and Eckelmann, 2002), (-UN FAO, 2001). Besides, extreme weather events can
also have a huge impact on the land use restructure. For example, in Samoa,
natural forests mostly have been lost or degraded, planted production but
plantations are easy to swirl. In the 1990s, and over 90% of planted forest
area of the island has lost in a OFA and Val tropical cyclone (Wilkie and
Eckelmann, 2002). These above examples illustrate the importance of analyzing
land use restructure in the context of natural factors and human in local and
global scale. The purpose of the restructuring of land use
is to create a balance between the purposes of land use, different land-use
types. To create reasonable land structure, thereby releasing all productive
potential, comparative advantages of each region, each area and all the country
in order to develop the economy of the local areas towards large commodity production,
resolve employments for farmers, improve their income and living standard for farmers
in rural areas.
2. Research Methodology
2.1 Method of partitioning and selecting study
point
Based on the geographical
location, rate of natural land square and the proportion of agricultural land
which using purpose change in Vietnam, we classified the study points into 2
sub-region.
Sub-region 1: The
studying point had high level of land use structural change ; theses points had
the proportion of natural land square which was changed the purpose of
using was higher than 25% and 50% of the
proportion of agricultural land square which transferred to non-agricultural
purposes; for example moving to industrial zones, infrastructure, non-agricultural
production and business activities . This sub-region’s arable land area remained
negligible. Those were the new development cities such as Vinh city, Thanh Hoa
city, etc.
Sub-region 2: The communes had low conversion
level; these communes had proportion of natural land area moved use purpose
which was lower than 25% and the proportion of agricultural land was recovered
which was lower than 50%. Striking features of these communes were mainly handicrafts
and traditional craftsmanship development. There was a high production
diversification, the intensive cultivation and cash crops developed strongly;
including Buon Me Thuot, Gia Lai, Dong Hoi and some communes which major
transformed in agricultural land; including Hue, Dong Ha and Phu Yen.
During the surveying process, we saw land
acquisition and not acquisition households. Therefore, when we investigated, we
divided into two groups to compare between the land acquisition households and
households without land acquisition. In which recovered households, the
recovered rate was also very different, so the investigation process in the
communes continued to divide belongs to agricultural land acquisition
households rate to determine influence degree of land acquisition to land
acquisition households
Table 1: To
choice farmer households’ investigation
Criteria
|
Sub-region
1
|
Sub-region
1
|
Households
group 1
|
Households
group
|
Households group 1
|
Households
group
|
Households
group 2
|
Households
group 3
|
Households
group 4
|
Households
group 2
|
Households
group 3
|
Households
group 4
|
Questionaire
|
40
|
40
|
40
|
40
|
40
|
40
|
40
|
40
|
(Source: The author studies and synthesis)
Households group
1: Households without land acquisition
Households group
2: Land acquisition households were lower than 30% of the agricultural land
area
Households group
3: Land acquisition households were from 30% - 70% of agricultural land area
Households group
4: Land acquisition households were higher than 70% of agricultural land area
Therefore, total
of questionnaires were 320. In which 80 questionnaires of households without land
acquisition; 240 questionnaires of land acquisition households were at
different levels.
2.2. Investigation and interview
method
- Investigating and
interviewwing
farmer household
in 2 sub-regions belongs to questionnaire which
print collected
information such as:
- The investment
level in agricultural production in the area
- Earnings, income and livelihood of farmer households
- Employment of land acquisition households and not land
acquisition households
- The using status of the
compensation of land acquisition farmers household
- Identify the people of infrastructure, economy
– social
in rural area
- The use of fertilizers and growth stimulants, frequency of using of plant protection products in the agricultural
production process in rural households.
- People’s opinions about environmental problems occured in the production process at local area.
3. Studying Findings
To determine the impact level of land use structural change to develop
agriculture and rural areas, we relied
on studying results of people's perceptions and using simple regression model Y
= ax + b. Specific results were presented in Table 2.
Table 2. Correlation analysis results between the
proportion of agricultural land acquisition in the sub-region
with economic, social, environmental factors
Number
|
Criteria
|
Sub-region 1
|
Sub-region 2
|
r1
|
The relation level of quantities
|
r2
|
The relation level of quantities
|
1
|
Average income per capital
|
0,80
|
X, Y tight correlation
|
0,74
|
X, Y tight correlation
|
2
|
Revenue
|
0,87
|
X, Y tight correlation
|
0,72
|
X, Y tight correlation
|
3
|
Spending level
|
0,39
|
X, Y average correlation
|
0,26
|
X, Y weak correlation
|
4
|
Agriculture investment
|
0,07
|
X, Y weak correlation
|
0,09
|
X, Y weak correlation
|
5
|
Career change
|
0,89
|
X, Y tight correlation
|
0,84
|
X, Y tight correlation
|
6
|
|
|
|
|
|
6.1
|
Rural
electricity supply
|
0,34
|
X, Y average correlation
|
0,19
|
X, Y weak correlation
|
6.2
|
Clean
water supply
|
0,39
|
X, Y average correlation
|
0,24
|
X, Y weak correlation
|
6.3
|
Traffic
condition
|
0,87
|
X, Y tight correlation
|
0,84
|
X, Y tight correlation
|
6.4
|
School
condition
|
0,91
|
X, Y very tight correlation
|
0,90
|
X, Y tight correlation
|
6.5
|
Healthcare
condition
|
0,91
|
X, Y very tight correlation
|
0,89
|
X, Y tight correlation
|
7
|
Rural
social institutions
|
|
|
|
|
7.1
|
Social
and family relation
|
0,01
|
X, Y weak correlation
|
0,02
|
X, Y weak correlation
|
7.2
|
Security
situation
|
0,01
|
X,
Y weak correlation
|
0,09
|
X, Y weak
correlation
|
8
|
Rural
environment
|
0,06
|
X,
Y weak correlation
|
0,05
|
X, Y weak
correlation
|
(Source: Synthesis from the author’s survey results)
* The tight and
very tight correlation level
The
analysis result in Table 2 showed that: The proportion of agricultural land acquisition
was in tight average correlation with income per capital, income, career
change, traffic condition in the area, school condition, healthcare and r1>
r2 means that in sub-regional which had land use structural changing speed with
higher speed with speed had tighter correlation compared with sub-region which
had lower land use structural changing speed. The equation describes the trend
between the proportion of agricultural land acquisition with income per capital
in sub-region 1 is Y = 0.772867902*X 1.914278571, in the sub-region 2 is Y =
0.743419638 * X + 1.311803188; with income in the sub-region 1 is Y =
0.972624145*X + 1.565892684 , in the sub-region 2 is Y = 0,715931079*X + 1,698332258; with career change in the sub-region 1
is = 0,97953061*X + 1,436826151, in the sub-region
2 is Y = 0,822291839* X + 1,739058325;with traffic
conditions in the sub-region 1 is Y = 1,058533079*X +
1,118816213,
in the sub-region 2 is : Y = 0,946804263* X
+ 1,507785866;
with healthcare conditions in the sub-region 1 is Y = 0,961873809*X + 1,431950998, the sub-region 2 is Y = 0,966983015* X + 1,520132682; with school
conditions in the sub-region 1 is Y = 1,010156567*X +
1,516078627,
in the sub-region 2 is Y = 0,954881907* X + 1,701465033.
X
in these equations gets the values of 0, 1; 2; 3. In the two sub-regions X, Y are
the same proportion, the Y value in the sub-region 1 is higher than one in the
sub-region 2 with the same X value. That means sub-region which has stronger restructuring
land use speed, average income per capital level is higher, sources of income
are more diversified, career change is more, traffic, healthcare and schools conditions
are better than in sub-region which has weak restructuring land use speed.
In the same sub-regional,
households group which are more land acquisition are also much better than less
land acquisition households group. This is entirely consistent with the above
analysis and reality survey results in the area. More land acquisition
households force to change career, income also changes belongs to more positive
direction with higher demand requirements about quality of all employees. Sources of
households income change belongs to positive direction, if previously income
concentrates mainly from sources of agricultural production, at the present, income
from industrial and handicraft; trade, services and from other sources has also
increased significantly. Therefore, the career change is inevitable, the sub-region
which has stronger land use restructuring speed, had more career change, more land
acquisition households group has higher employment change rate than less land
acquisition households group. Sub-regional which has stronger land use
restructuring speed, transport, healthcare and school systems is invested better.
This proves that the restructuring of land use had positive effect to
contribute to increase income per capital, revenue, career change, to promote
rural infrastructure to be better.
*
The average and weak correlation levels
The
analysis results in Table 2 showed that: The proportion of agricultural land which
is revoked has average correlation in the sub-region 1 and weak correlation in
sub-region 2 with spending; weak correlation in the two sub-regions with
agricultural investment and r1
The
equation describes the trend among land loss rate with expenditure in the
sub-region 1 is Y = 0,431825995 * X + 2,717459921; in sub-region
2 is Y = 0,256088946 * X + 2,588961577; with agriculture
investment in sub-region 1 is Y = - 0,069502172*X
+ 3,203818869;
in sub-region 2 is Y = - 0,102920851 * X
+ 2,653920575;
the electricity supply situation in the sub-region 1 is Y = 0,398543704 * X + 2,610925341; in sub-region 2 is Y = 0,174851807 * X + 2,496636875; the clean water
supply situation in the sub-region 1 is Y =
0,43423232*X + 2,695115472; in sub-region 2 is Y = 0,245154949*X + 2,63097761; relationships with family and society
in the sub-region 1 is Y = - 0,014656708 * X +
2,590643458;
in sub-region 2 is Y = - 0,020270893 * X
+ 3,156546577;
the security situation in the sub-region 1 is Y = 0,009469046 * X + 2,379605613; in sub-region 2 is Y = - 0,078288645 * X + 3,503086704; with the rural
environment in the sub-region 1 is Y = - 0,06112691 *
X + 2,866308322;
in sub-region 2 is Y = - 0,055990663 * X
+ 3,630885469.
X, Y have the same proportion in
the two sub-regions with expenditure level, the electricity and clean water
supply. Y in the sub-region 1 gets higher value than the sub-region 2 at the
same X value. Therefore, it can be seen that although X, Y have average and
weak correlation but in the sub-region which had stronger land use structuring
speed conversion rate high land use structure is still a good investment than
the speed sub-region restructuring land use low on the supply of electricity,
water and higher spending. It can be noticed between the rate of loss of land
with an investment in agriculture, rural social institutions and the rural
environment has no strict correlation and at the present time restructuring
land use has not yet caused much influence these indicators. But in the
equation X, Y are inversely so if in the future we are not interested in these
issues, the land use restructure could lead to negatively affect investment in
agriculture industrial, rural social institutions and rural environment than
existing sub-regional phenomenon has affected not good 1 more sub-regions 2 for
this indicator.
4.
Overall assessment
The process of restructuring of land use has created many opportunities
for the development of agriculture, but it also requires that agricultural
production should be very quick, can dynamically adapt promptly demands market.
Structural change in agricultural land use is critical for the transformation
of rural economy from an agricultural economic structure to the industrial
economy, service on rural areas. Create new local jobs and increase income for
rural workers. Contribute reassign rural labor, the production capacity of
these households fullest, utilizing the labor resources available in rural
areas, increase income, improve people's life. This process has spurred
producers restructuring of plants and animals and are forced to consider the
comparative advantages between production activities on agricultural land is
increasingly shrinking.
Through land use restructuring conditions for the accumulation of land,
to form the production focused area towards commodities, to promote the
advantages of each crop type, livestock belongs to production conditions of
each region, local and production conditions of each household.
Table 3. Summary of the
existence, causes and solutions to the structural change of land use in Vietnam
in 2015
Criteria
|
Status
|
Cause
|
Solution
|
1. Economic
|
Revenue and
Revenue source of a part of people decrease
|
Education
level is low, vocational training has not been trained
|
To train vocation and improve education level for people
|
No capital for
organizing production by themselves
|
To have policy
to attract production investment capital
|
Restrictions in forming relationships, poor
integration capabilities;
|
To train soft
skills for labors
|
Employment service
assessment capabilities
|
To enhance
employment service assessment capabilities
|
Agricultural
investment capital are limited
|
- Low
profitability capabilities and many risky
|
To increase
profitability capabilities and restrict risky
|
2. Social
|
The shortage
of employments of land acquisition labors
|
People are not
prepared to find a new job; low
educational qualification
|
To prepare thought, consciousness and skills training for people
themselves to find jobs
|
The amount of
supporting money for career change are low
|
|
The vocational
training institutions are limited in scope and training quality
|
To enhance to
invest in infrastructure and improve vocational training quality
|
Investors are
not really interested in the supporting
vocational training and job creation commitments
|
To attract
investors’ interest in the supporting
vocational training and job creation
|
The
enterprises tend to employ young labors (from 18-35 years old)
|
To create
employments for labors who are over 35 years old
|
The employment
information channels in the area have not yet really developed
|
To develop
information channels in the area
|
Local
authorities are not really interested in these problems properly
|
To need more
attention of local authorities
|
Rural social
institutions are low
|
The
deregulation of Local authorities
|
The
committees, governments, unions need more interested in management problems
|
Insufficient
awareness about the using purpose of land compensation money and quickly
enjoyment psychological
|
To enhance the
discussion about knowledge for the people to use the compensation money
effectively
|
3. Environment
|
Disorderly
garbage, waste water condition
|
Thoughts not
pay attention to environmental protection
|
To propaganda
for people to aware of environmental protection benefits
|
Environment
pollution
|
Parks,
industrial parks, and production facilities has not really followed strictly
environmental protection regulations
|
To need
closely coordination between all authorities levels in discussing the implementation of
environmental protection tasks
|
(Source:
Compiled from the actual survey results)
Changing the structure of
land use has created favorable conditions brought scientific and technical
progress in agriculture. Infrastructure, especially communications system
improves, because people early access to markets and new advances of science
and technology production. The offer and receipt of technical materials for
agricultural production and more favorable.
Besides the positive side, the restructuring
of land use also creates difficulties for agricultural production. The
influence directly and disadvantages that most land areas reserved for
agriculture fell rapidly losing Data type of agricultural production, the scale
of production of plant growing increasingly narrow, workers in the age group of
35 to become difficult in finding new employment, problems of environmental
pollution and food safety is increasing. In other types of land use land use
planning has not been stable, farmers still produced according to the market
trend, chasing immediate profit. The models with high economic efficiency,
there are many households with intensive investments that unknown future
products will be sold to anyone, where consumer markets ... leading to many
products have not sold, prices are lower, less efficient income. The production
level of the people despite being lifted, but produced mostly still done
manually, based on the experience of traditional, low productivity, high
product costs, uneven quality, difficult to the organization of procurement and
processing and competitiveness in the market is weak, the growth rate of the
agricultural sector tends to level off. The production process has a closed,
relatively safe from epidemics and environmental sanitation. However, the fact
that many areas previously converted unplanned, scattered, prone divided
territory, affecting agricultural land around ... if just for the
self-protection switch play will break environmental landscape, imbalance and
impact directly to agricultural producers. The restructuring of land use within
agricultural land is still spontaneous, no specific planning of cultivation
areas, production was unsustainable; is transferred from rice to the garden
camp site model; This causes negative impacts on agricultural systems and
disrupt agricultural landscape and environment. So should do a good job of
planning for the transition. In producing farmers also use a variety of crop
protection chemicals, growth stimulants, which cause environmental pollution,
decrease the quality of products. Enhancing the awareness of environmental
protection of the people is limited, waste, waste water, untreated waste and
collectors to contaminate the surrounding environment. The type of land use for
high economic and society is efficiency but the ability to meet the
requirements of capital, labor, scientific and technical qualifications, access
to farmers' markets remains limited. Therefore, the restructuring of land use
remains to overcome in the development of agriculture and rural areas.
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