Table 11.3. Collinearity test of economic efficiency model of TSQCCT farming households
. corr lnlnch lngch lntach lnldch lnach dcltv dckt ddhsx pnrr sfvits knghiem tdhv dtich knong ttin
(obs=92)
| lnlnch lngch lntach lnldch lnach dcltv dckt ddhsx
----------+--------------------------------------------------------------------------
llnnch| | 1.0000 | ||||||||
lngch | | | -0.4433 | 1.0000 | ||||||
insert | | | -0.4930 | 0.4462 | 1.0000 | |||||
lnldch | | | -0.3793 | 0.2868 | 0.3341 | 1.0000 | ||||
inch | | | -0.4632 | 0.3790 | 0.4728 | 0.2372 | 1.0000 | |||
dcltv | | | 0.4743 | -0.1542 | -0.1851 | -0.2247 | -0.0468 | 1.0000 | ||
dckt | | | 0.5466 | -0.1415 | -0.2460 | -0.3825 | -0.2047 | 0.6279 | 1.0000 | |
ddhsx | | | -0.3356 | 0.1585 | 0.1804 | 0.2630 | 0.1625 | -0.4091 | -0.4632 | 1.0000 |
pnrr | | | 0.4252 | -0.1261 | -0.1483 | -0.2799 | -0.1038 | 0.5424 | 0.5074 | -0.3082 |
sfvits | | | -0.3816 | 0.3262 | 0.2643 | 0.1591 | 0.2074 | 0.0197 | -0.2057 | 0.1498 |
experience | | | -0.2061 | -0.0301 | -0.0422 | 0.1710 | -0.2005 | -0.1833 | -0.2428 | 0.1837 |
tdhv | | | 0.4309 | -0.0274 | -0.1348 | 0.0014 | -0.2268 | 0.2481 | 0.4623 | -0.2010 |
time | | | -0.2223 | -0.0129 | 0.0525 | 0.2173 | 0.0200 | -0.2417 | -0.2333 | 0.2177 |
knot | | | 0.2773 | -0.1448 | -0.2612 | -0.2262 | -0.1725 | 0.1759 | 0.3782 | -0.3916 |
information | | | 0.3110 | -0.0495 | -0.0444 | -0.2531 | -0.1535 | 0.4684 | 0.3723 | -0.2334 |
Maybe you are interested!
-
Identify Rating Levels and Rating Scales
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zt2a3gstourism,quan lan,quang ninh,ecology,ecotourism,minh chau,van don,geography,geographical basis,tourism development,science
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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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Assessment of surface water resources in Dong Nai river basin to serve sustainable development goals in the context of climate change - 2 -
Research on Evaluating Climate Change for Tourism Development -
Concept, Causes and Impacts of Climate Change -
Impact of Socio-Economics and Climate Change on Tourism Resources

| pnrr sfvits knghiem tdhv dtich knong ttin
----------+--------------------------------------------------------------------------
pnrr |1.0000
sfvits |-0.1570 1.0000
kghiem |-0.2329 0.03051.0000 | |||
tdhv |0.3812 -0.1009 | -0.0414 1.0000 | ||
dtich |-0.0853 -0.1086 | 0.3678 -0.1207 1.0000 | ||
knong |0.1484 -0.0769 | -0.1268 0.2325 -0.1459 | 1.0000 | |
news |0.3734 0.1611 | -0.1350 0.1576 -0.1887 | 0.1335 | 1.0000 |
Source: Survey data processing results, 2018
Table 11.4. Multicollinearity test of economic efficiency model of TTCTTC farming households
corr lnlnch lngch lntach lntch lnldch lnnlch lnvch lnach dcltv dckt ddhsx pnrr sfvitt knghiem tdhv dtich knong ttin
(obs=170)
| lnlnch lngch lntach lntch lnldch lnnlch lnvch lnach dcltv
-------------+------------------------------------------------------------------------------------------
llnnch| | 1.0000 | |||||||||
lngch | | | -0.3863 | 1.0000 | |||||||
insert | | | -0.3345 | 0.6105 | 1.0000 | ||||||
Intch | | | -0.2316 | 0.0382 | 0.0473 | 1.0000 | |||||
lnldch | | | -0.2376 | 0.1736 | 0.0789 | 0.1297 | 1.0000 | ||||
lnnlch | | | -0.2518 | 0.0786 | 0.1001 | 0.1444 | 0.0897 | 1.0000 | |||
lnvch | | | -0.4284 | 0.6924 | 0.5074 | 0.0449 | 0.1604 | 0.0482 | 1.0000 | ||
inch | | | -0.2084 | 0.1185 | 0.0088 | 0.1114 | 0.2440 | 0.1621 | 0.2460 | 1.0000 | |
dcltv | | | 0.2907 | -0.1282 | -0.0026 | -0.1150 | -0.1925 | -0.1421 | -0.1230 | -0.1220 | 1.0000 |
dckt | | | 0.4051 | -0.1674 | -0.0304 | -0.1216 | -0.0948 | -0.1594 | -0.1280 | -0.1524 | 0.3281 |
ddhsx | | | -0.0866 | -0.0052 | 0.0039 | 0.0032 | -0.0072 | 0.0243 | -0.0725 | -0.0042 | -0.0765 |
pnrr | | | 0.3761 | -0.1956 | -0.1268 | -0.1403 | -0.0869 | -0.2087 | -0.1750 | -0.0207 | 0.1199 |
sfvitt | | | -0.3339 | 0.0172 | 0.0014 | 0.2962 | 0.0602 | 0.0264 | -0.0375 | 0.0692 | -0.1154 |
experience | | | 0.3563 | -0.1424 | -0.0819 | -0.0947 | -0.0459 | -0.0444 | -0.1568 | -0.1155 | 0.1819 |
tdhv | | | 0.2991 | -0.1516 | -0.0917 | -0.1529 | -0.1557 | 0.0492 | -0.0783 | -0.0998 | 0.2925 |
time | | | 0.0342 | -0.0620 | -0.0752 | -0.1712 | -0.2020 | -0.0048 | -0.0126 | -0.1156 | 0.1164 |
knot | | | 0.2189 | -0.0926 | 0.0050 | -0.0490 | -0.0875 | -0.0881 | -0.0643 | -0.0751 | 0.0774 |
information | | | 0.3751 | -0.1079 | -0.1085 | -0.1190 | -0.0705 | -0.0640 | -0.0969 | -0.1598 | 0.1937 |
| dckt ddhsx pnrr sfvitt knghiem tdhv dtich knong ttin
-------------+------------------------------------------------------------------------------------------
dckt |1.0000 | |||
ddhsx | | -0.1447 | 1.0000 | |
pnrr | | 0.2331 | -0.0608 | 1.0000 |
sfvitt | | -0.1272 | 0.0656 | -0.2339 1.0000 |
experience | | 0.3043 | -0.0841 | 0.1714 -0.3512 1.0000 |
tdhv | | 0.1985 | -0.0397 | 0.3134 -0.2763 0.2535 1.0000 |
time | 0.1860 | 0.0354 | 0.0466 -0.2241 0.0825 0.1535 1.0000 |
knot | | 0.2718 | 0.1575 | 0.1333 -0.0722 0.2091 0.1968 0.1271 |
information | | 0.2368 | 0.1498 | 0.1564 -0.0543 0.1582 0.1757 0.2524 0.1046 1.0000 |
Source: Survey data processing results, 2018
Table 11.5. Results of simultaneous estimation of the random marginal profit function and the technical inefficiency function of TSQCCT farming households
Stoc. frontier normal/tnormal model Number of obs = 92
Wald chi2(4) = 55.14
Prob > chi2 = 0.0000
Log likelihood = -53.0903
------------------------------------------------------------------------------
lnlnch | Coef. Std. Err. zP>|z| [95% Conf. Interval]
----------+--------------------------------------------------------------------------
Frontier |lngch | -.4793928 | .1281415 | -3.74 | 0.000 | -.7305456 | -.2282401 | |||
lntach | -.3875505 | .1526654 | -2.54 | 0.011 | -.6867691 | -.0883319 | |||
lnldch | -.0193533 | .0725018 | -0.27 | 0.790 | -.1614542 | .1227477 | |||
lnach | -.1227269 | .0624387 | -1.97 | 0.049 | -.2451044 | -.0003494 | |||
_cons | 2.596061 | 1.543424 | 1.68 | 0.093 | -.4289941 | 5.621116 | |||
----------+-------------------------------------------------------------------------- | ||||||||
Mu | | | |||||||
dcltv | | | -1.758238 | .9206198 | -1.91 | 0.056 | -3.56262 | .0461432 | |
dckt | | | -1.293301 | 2.51122 | -0.52 | 0.607 | -6.215201 | 3.6286 | |
ddhsx | | | 1.390981 | 36.82166 | 0.31 | 0.757 | -6.778151 | 8.560110 | |
pnrr | | | -.6067944 | .9834694 | -0.62 | 0.537 | -2.534359 | 1.32077 | |
sfvits | | | 10.82636 | 3.413286 | 3.17 | 0.002 | 4.136439 | 17.51627 | |
experience | | | .0322367 | .0250191 | 1.29 | 0.198 | -.0168 | .0812733 | |
tdhv | | | -.2259523 | .0724046 | -3.12 | 0.002 | -.3678628 | -.0840418 | |
time | | | .1366457 | .1253683 | 1.09 | 0.276 | -.1090717 | .382363 | |
knot | | | -.6154523 | .2367098 | -2.60 | 0.009 | -1.079395 | -.1515096 | |
information | | | -.7378127 | .2690716 | -2.74 | 0.006 | -1.265183 | -.210442 | |
_cons | | | -14.67237 | 36.99017 | -0.40 | 0.692 | -87.17177 | 57.82703 | |
----------+--------------------------------------------------------------------------
Usigma |
_cons | -1.107602 .4251662 -2.61 .009 -1.940912 -.2742912
----------+--------------------------------------------------------------------------
Vsigma |
_cons | -1.181858 .2039985 -10.70 0.000 -2.581688 -1.782028
-------------+---------------------------------------------------------- sigma_u | .5747611 .1221845 4.70 .000 .3789102 .8718433
sigma_v |.3359043 | .034262 | 9.80 | 0.000 | .2750386 | .4102395 | |
lambda | | 1.711086 | .1345726 | 12.71 | 0.000 | 1.447328 | 1.974843 |
------------------------------------------------------------------------------
. predict hqkinhte, jlms
. sum hqkinhte
Variable | Obs Mean Std. Dev. Min Max
-------------+-------------------------------------------------------- hqkinhte | 92 .7050905 .294412 .0743344 .9841934
Source: Survey data processing results, 2018
Table 11.6. Results of simultaneous estimation of the random marginal profit function and the technical inefficiency function of TTCTTC farming households
Number of obs = | 170 |
Wald chi2(7) = | 51.50 |
Prob > chi2 = | 0.0000 |
Stoc. frontier normal/tnormal model
Log likelihood = -183.5699
------------------------------------------------------------------------------
lnlnch | Coef. Std. Err. zP>|z| [95% Conf. Interval]
----------+--------------------------------------------------------------------------
Frontier |
lngch | -.0901615.2345195 | -0.38 | 0.701 | -.5498112 | .3694882 | ||||
lntach | -.3842542 | .2006271 | -1.92 | 0.055 | -.7774761 | .0089676 | |||
lntch | -.1342673 | .0500264 | -2.68 | 0.007 | -.2323173 | -.0362172 | |||
lnldch | -.0777918 | .0576182 | -1.35 | 0.177 | -.1907214 | .0351379 | |||
lnnlch | -.0694709 | .0691486 | -1.00 | 0.315 | -.2049998 | .0660579 | |||
lnvch | -.5064914 | .2262359 | -2.24 | 0.025 | -.9499057 | -.0630771 | |||
lnach | -.0456478 | .0857872 | -0.53 | 0.595 | -.2137876 | .122492 | |||
_cons | 10.05162 | 1.726918 | 5.82 | 0.000 | 6.666926 | 13.43632 | |||
----------+-------------------------------------------------------------------------- | ||||||||
Mu | | | |||||||
dcltv | | | -.2292502 | .1900378 | -1.21 | 0.228 | -.6017174 | .1432171 | |
dckt | | | -.5498256 | .2206342 | -2.49 | 0.013 | -.9822606 | -.1173906 | |
ddhsx | | | .2772648 | .1681144 | 1.65 | 0.099 | -.0522334 | .606763 | |
pnrr | | | -.3486037 | .1714703 | -2.03 | 0.042 | -.6846793 | -.0125282 | |
sfvitt | | | 7.207292 | 1.886733 | 3.82 | 0.000 | 3.509363 | 10.90522 | |
experience | | | -.0178447 | .0153075 | -1.17 | 0.244 | -.0478469 | .0121574 | |
tdhv | | | -.0123615 | .0274569 | -0.45 | 0.653 | -.0661761 | .0414532 | |
time | | | .4871749 | .1338703 | 3.64 | 0.000 | .2247939 | .7495558 | |
knot | | | -.1074731 | .0608852 | -1.77 | 0.078 | -.2268059 | .0118596 | |
information | | | -.376894 | .0855531 | -4.41 | 0.000 | -.544575 | -.209213 | |
_cons | | | -.7932909 | 1.123298 | -0.71 | 0.480 | -2.994914 | 1.408332 | |
----------+--------------------------------------------------------------------------
Usigma |
_cons | -.3690395 .1907766 -1.93 .053 -.7429547 .0048758
----------+--------------------------------------------------------------------------
Vsigma |
_cons | -3.523196 .9884582 -3.56 0.000 -5.460538 -1.585854
----------+--------------------------------------------------------------------------
sigma_u |.8315035 | .0793157 | 10.48 | 0.000 | .6897146 | 1.002441 | |
sigma_v | | .1717702 | .0848938 | 2.02 | 0.043 | .0652017 | .4525184 |
lambda | | 4.840792 | .1436833 | 33.69 | 0.000 | 4.559178 | 5.122406 |
------------------------------------------------------------------------------
. predict hqkinhte, jlms
. sum hqkinhte
Variable | Obs Mean Std. Dev. Min Max
-------------+-------------------------------------------------------- hqkinhte | 170 .3094379 .2530529 .008819 .935891
Source: Survey data processing results, 2018
Appendix 12. List of interviews with district and commune level officials
No. Full name Level District/Commune Position Phone number
phone
1 Lam Nguyen Hoang Thanh District
Rich
2 Tran Van Trung Thanh District
Rich
3 Vo Thi Yen Nhi Thanh District
Rich
Deputy Head of Department of Agriculture and Rural Development
Specialist of Department of Agriculture and Rural Development
Specialist of Department of Agriculture and Rural Development
0328456077
0976983567
0383611772
4 Pham T. Thanh Nga Ba Tri District , Head of Department of Agriculture and Rural Development
PTNT
5 Trinh Thi Kim Loan Ba Tri District Specialist of Agriculture Department
and PTNT
0384177666
0392030214
6 Huynh Thi Bich
Echo
Ba Tri District, Agriculture Department Specialist
and PTNT
0932292067
7 Nguyen Thi Hanh Ba Tri District Specialist of Agriculture Department
and PTNT
0976526861
All | PTNT | |
9 | Nguyen Hoang Vu | Binh Dai District, Agriculture Department Specialist 0945109150 |
10 | Tong Hong Huan | Giao Thanh Commune Economic civil servant - commune 0928575618 |
11 | Mr. T. Tuyet Nhan | Giao Thanh Commune Agricultural civil servant 0349047904 |
12 | Nguyen Khac Vu | An Dien Commune Economic civil servant - commune 0367990525 |
13 | Dao Thi Tam Ca | An Dien Commune Agricultural civil servant 0938979601 |
14 | Le Quoc Duong | Bao Thanh Commune Agricultural civil servant 0949618484 |
15 | Tran Thi Kim Sa | Bao Thanh Commune Economic civil servant - commune 0818569477 |
16 | Dang Cong Em | Tan Xuan Commune Agricultural civil servant 0386423813 |
17 | Pham Tuan An | Economic and accounting civil servant Dinh Trung Commune , call 0984558306 |
8 Vo Trinh Quoc
Binh Dai District , Head of Department of Agriculture and Rural Development
0918312132
and PTNT association
- environment
festival
- environment
- environment
festival
- environment
Source: Author's synthesis
Appendix 13. Research Questionnaire

UNIVERSITY OF AGRICULTURE AND FORESTRY FACULTY OF ECONOMICS
COUPON CODE
. . . . . . . . .
SURVEY ON CLIMATE CHANGE AND THE SITUATION OF SEA SHRIMP FARMING IN BEN TRE PROVINCE
Interviewer's name:………………………….. Interview date:……/… . ./………….
We are currently conducting a research project on “Analysis of climate change adaptation measures and the effectiveness of shrimp farming in Ben Tre province” . We look forward to receiving your help by answering the following questions.
A. BASIC INFORMATION
1. Name of household head: …………………………Age:………………..
2. Address: Hamlet:…………….Commune:………………District:……………...Phone:……………
3. Name of interviewee:…………………….Relationship with household head:………. 4. Started shrimp farming since year: ......................
B. LIVELIHOOD RESOURCES
I. Human resources
1. Gender of the interviewee: О Male О Female
2. Education level of the interviewee:…………………….
3. Demographic situation and number of workers
- Total number of people in the household:..............................people, of which female: ……….. people
- Number of elderly and children:..............................people
- Number of people who have graduated from high school or higher:..............................people
- Direct labor involved in shrimp farming:.......................people
- Non-agricultural labor:................................people
4. Health monitoring status:
- Please tell us about the effectiveness of local medical examination and treatment services.
О Effective О Relatively effective О Ineffective
- Please tell us how easy it is to get to the medical facility
О Easy О Relatively easy О Not easy
II. Social resources
1. Does your family participate in any organizations or groups? О Yes О No If yes, specifically which of the following organizations or groups:
(1) Cooperative group (2) Farmers' association (3) Youth union
(4) Cooperatives (5) Women's Union (6) Party
(7) Government from hamlet to commune (8) Other (specify) ……………
2. In the past year, have you cooperated with any units in output consumption?
Yes No
If yes, which unit? .................................
3. What types of insurance does your family have?
(1) Health insurance (2) Shrimp farming insurance (3) Social insurance
(4) Motorcycle insurance (5) Life insurance (prudential, dai-ichi,…)
(6) Other:………………………………..
4. Has anyone in the family moved to another place for work purposes?
О Yes О No
If yes, how many people.....................................
5. Have you attended any training courses on shrimp farming organized by your company or organization?
Did you participate in the event last year? ОYes ОNo If yes, how many times a year on average:………..
6. Your family is eligible
О (1) Well-off households О (2) Average households О (3) Near-poor households О (4) Poor households
III. Material resources
1. Land use situation
Total land area:..............................(m 2 ). In which:
- Shrimp farming area:..............................(m 2 ). Number of ponds: ............... (ponds).
- Other aquaculture area:.....................................(m 2 )
- Salt-making land area:...................................(m 2 )
- Annual planting area:.....................................(m 2 )
- Area for planting perennial trees:.....................................(m 2 )
- Area used for other purposes:.....................................(m 2 )
- Owning land for shrimp farming: Individual Rent Other………… If rented, rental price/year ……………million VND
2. Housing and durable consumer goods
1.1 The house where grandparents live is of the following type:
О(1) Permanent house О(2) Semi-permanent house О(3) Temporary house
2.2 Household durable consumer assets
Asset Type
Have | Are not | Quantity (piece/pcs) | |
1. Telephone (mobile and landline) | |||
2. Motorcycle | |||
3. Car | |||
4. Television | |||
5. Refrigerator | |||
6. Air conditioner | |||
7. Washing machine | |||
8. Internet | |||
9. Computer (Laptop) | |||
10. Other assets: ………………… | |||
Add |
3. According to you, how is the level of meeting the demand for water in daily life?
О(1) Often lacking О(2) Occasionally lacking О(3) Adequate
4. Types of domestic water sources that households access and use during natural disasters
(1) Well water (drilled, dug) (2) Rainwater (3) Tap water
IV. Natural resources
1. Distance from shrimp pond to commune center:……km; to district center:……km;
to the coast:..........km.
2. Situation of water sources for production
1.1 Could you tell me if the water source for your family's shrimp farming is polluted or not?
О Yes О No
2.2 If yes, please indicate which of the following causes of pollution?
(1) Waste sources from industrial factories, small-scale industries, and craft villages
(2) Waste from shrimp, crab, fish farming... of households and other establishments
(3) Waste sources from fertilizers and pesticides
(4) Waste sources from livestock and poultry farming
(5) Other (specify) …………………
2.3 In your general assessment, the current level of water pollution for shrimp farming is
О(1) Very high О(2) High О(3) Moderate О(4) Low О(5) Very low
3. How do you rate the convenience of local infrastructure for shrimp farming?
Status
Facilities | Favorable | Relatively favorable | Unfavorable | |
1 | Traffic | |||
2 | Dike, sea dike | |||
3 | Canal | |||
4 | Electricity |
4. How often do you experience power outages in your home?
О (1) Often О (2) Occasionally О (3) Rarely
V. Financial resources
1. Do you currently have any loans? О Yes О No
2. Could you please tell us about your most recent loan source?
Loan amount (million VND)
Amount for shrimp production (million VND) | Interest rate (%/month) | Loan year and term (months) | Loan conditions | ||
Credit | Mortgage | ||||
3. Is it easy to get a loan? О Yes О No
4. Where have you borrowed money?
(1) Bank for Agriculture and Rural Development (2) Bank for Social Policies
(3) Associations, groups, clubs (4) Purchase of agricultural materials on credit
(5) Borrow from relatives/acquaintances (6) Borrow from private individuals
(7) Never borrowed (8) other:………
5. Average annual income and livelihood of household members
Target
Have | Are not | ||
1. Shrimp farming | a) What is the average total annual income from the above activities? : ……….... million copper b) In which the main source of income is from:……… c) Approximately how much % does your family save each year? savings in total income? ………... % | ||
2. Other aquaculture | |||
3. Making salt | |||
4. Raising livestock and poultry | |||
5. Growing annual crops (rice, vegetables, color) | |||
6.Planting perennial trees (mangoes...) | |||
7. Non-agricultural, including | |||
- Work for hire | |||
- Trade | |||
- State employee | |||
- Company staff | |||
- Other: ………. |
C. SEA SHRIMP PRODUCTION SITUATION IN 2018
I. Breed, farming form and farming time
1. Origin of the breed ОIn the province ОOutside the province
2. Are the shrimp seeds quarantined ? О Yes О No
3. Number of crops from the beginning of 2018 to present………………..crops
S
tt
Breeding form | Number of ponds | Total area (m 2 ) | Breed type (Sú, Bài) | Breeding time (From day/month )date) | |||||
Case 1 | Case 2 | Case 1 | Case 2 | Case 1 | Case 2 | Case 1 | Case 2 | ||
1 | □ Improved giant tiger prawn | ||||||||
2 | □ Intensive white leg shrimp farming | ||||||||
3 | □ Other……. | ||||||||

II. Means of production
Type of document
Quantity (pond/piece/unit) | Unit price (1000 VND) | Total amount (1000 VND) | Time of use | Time used | |
1. Cost of digging shrimp ponds | |||||
2. Engine | |||||
3. Motor | |||||
4. Fan rack | |||||
5. Aerator (oxygen) | |||||
6. Water pump | |||||
7. Siphon machine (pump) mud) | |||||
8. Feeding machine | |||||
9. Boat | |||||
10. Watchtower | |||||
11. Surrounding mesh | |||||
12. Lining |





